example_id int64 0 8.3k | metadata stringlengths 680 723 | classification_prompt stringlengths 5.95k 14.2k | classification_completion stringclasses 14
values | classification_text stringlengths 5.97k 14.3k | improved_signature stringlengths 3.74k 10.5k | improved_model_weights stringlengths 1.77k 5.04k | training_metrics stringlengths 1.46k 2.92k |
|---|---|---|---|---|---|---|---|
0 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2190, "learning_rate": 0.011011... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.220921,
0.484456,
0.047179,
0.350972,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.220921,
0.484456,
0.047179,
0.350972,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.29780128598213196, 0.430982768535614, -0.24376456439495087, -0.06820584088563919, 0.318475604057312, 0.7214001417160034, 0.09721335768699646, -0.17378076910972595, 0.0, 0.0]}, "1": {"pca": [0.5398541688919067, -0.20937564969062805, 0.035204656422138214,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.220921, 0.484456, 0.047179, 0.350972, -0.296939], [-0.146521, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6898400485515594, "train_acc": 0.485, "val_loss": 0.6638575792312622, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750549972057343, "train_acc": 0.555, "val_loss": 0.6391302347183228, "v... |
1 | {"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8208, "learning_rate": 0.09630645140215274, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.537074,
-0.188148,
-0.718552,
-0.454124... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.537074,
-0.188148,
-0.718552,
-0.454124... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.385761022567749, 0.37568750977516174, -0.10415489226579666, -0.14121423661708832, -0.28748172521591187, 0.2152726948261261, -0.3260464370250702, 0.666305661201477, 0.0, 0.0]}, "1": {"pca": [0.10234690457582474, 0.2929198741912842, -0.07823708653450012, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.537074, -0.188148, -0.718552, -0.454124, -0.657402], [-0.138443, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876776218414307, "train_acc": 0.49, "val_loss": 0.8729578256607056, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7320164144039154, "train_acc": 0.57, "val_loss": 0.6967922449111938, "val... |
2 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1240, "learning_rate": 0.08278571507486415, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.655552,
0.340664,
0.13419,
0.155989,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.655552,
0.340664,
0.13419,
0.155989,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.3029038906097412, 0.5153995752334595, 0.19240184128284454, -0.11680468916893005, -0.1439746618270874, 0.5798109769821167, -0.23561573028564453, 0.42370566725730896, 0.0, 0.0]}, "1": {"pca": [-0.009528218768537045, -0.22233711183071136, 0.514887750148773... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.655552, 0.340664, 0.13419, 0.155989, 0.180451], [-0.243624, -0.369... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6729995310306549, "train_acc": 0.585, "val_loss": 0.7392985820770264, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6237123608589172, "train_acc": 0.585, "val_loss": 0.5784333348274231, "v... |
3 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2065, "learning_rate": 0.039792056... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.08475,
0.723148,
-0.511612,
0.311441,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.08475,
0.723148,
-0.511612,
0.311441,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.025776227936148643, 0.8271920680999756, 0.006233554799109697, -0.42406338453292847, -0.35221344232559204, -0.10566909611225128, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.372446745634079, 0.264452189207077, -0.2578968107700348, 0.6925085783004761, -0.04195741... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.08475, 0.723148, -0.511612, 0.311441, -0.507764], [0.799684, 0.182... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6875585615634918, "train_acc": 0.59, "val_loss": 0.7066342234611511, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6787996888160706, "train_acc": 0.59, "val_loss": 0.711582362651825, "val_... |
4 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1015, "learning_rate": 0.040864550... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.075795,
0.189889,
0.16686,
-0.96826,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.075795,
0.189889,
0.16686,
-0.96826,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.7428345084190369, 0.44483688473701477, -0.23756322264671326, 0.016460618004202843, -0.02214573323726654, -0.18719415366649628, -0.10665377229452133, 0.3830178380012512, 0.0, 0.0]}, "1": {"pca": [-0.5650020837783813, 0.27705222368240356, -0.14522212743759... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.075795, 0.189889, 0.16686, -0.96826, -0.989912], [0.257801, 0.3754... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6719673573970795, "train_acc": 0.59, "val_loss": 0.713010311126709, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6325537860393524, "train_acc": 0.655, "val_loss": 0.6701335906982422, "val... |
5 | {"target_pattern": "ends_with", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2470, "learning_rate": 0.025914399675... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.247627,
-0.095434,
0.260153,
-0.452932,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.247627,
-0.095434,
0.260153,
-0.452932,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.3935125470161438, -0.40410229563713074, 0.3617976903915405, 0.6782482266426086, 0.29997044801712036, 0.030800538137555122, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.511393129825592, 0.09217973053455353, 0.026973478496074677, -0.4909498989582062, 0.57204180... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.247627, -0.095434, 0.260153, -0.452932, -0.524656], [0.406615, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690742164850235, "train_acc": 0.53, "val_loss": 0.6624404191970825, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6903838813304901, "train_acc": 0.53, "val_loss": 0.663156270980835, "val_a... |
6 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8553, "learning_rate": 0.084357... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.315354,
0.415427,
-0.130208,
-0.434366,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.315354,
0.415427,
-0.130208,
-0.434366,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.47299471497535706, -0.349047988653183, 0.5289753675460815, -0.28013136982917786, 0.12403981387615204, 0.5281100869178772, 0.043206587433815, 0.0, 0.0, 0.0]}, "1": {"pca": [0.3144569993019104, 0.8549584746360779, 0.11000486463308334, -0.07895049452781677,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.315354, 0.415427, -0.130208, -0.434366, 0.68346], [0.900288, 0.841... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944035589694977, "train_acc": 0.45, "val_loss": 0.7006170749664307, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805649399757385, "train_acc": 0.58, "val_loss": 0.6969094276428223, "val_... |
7 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7025, "learning_rate": 0.06415731673... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.709612,
0.168003,
-0.468661,
-0.084141,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.709612,
0.168003,
-0.468661,
-0.084141,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5055093765258789, 0.5340443849563599, 0.06559266895055771, -0.08597996830940247, -0.18452507257461548, -0.5504007935523987, -0.3325227200984955, 0.0, 0.0, 0.0]}, "1": {"pca": [0.11856894195079803, 0.08637724816799164, 0.05229930952191353, 0.9054049253463... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.709612, 0.168003, -0.468661, -0.084141, 0.769243], [0.188981, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6970587074756622, "train_acc": 0.425, "val_loss": 0.6995843648910522, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6764391958713531, "train_acc": 0.575, "val_loss": 0.6971508860588074, "v... |
8 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5091, "learning_rate": 0.0989553914... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.112116,
0.477554,
-0.630916,
-0.140832,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.112116,
0.477554,
-0.630916,
-0.140832,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.4225125312805176, 0.11419972777366638, 0.886445939540863, 0.10682705789804459, 0.10603349655866623, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.2546602785587311, -0.014901820570230484, -0.2513682544231415, 0.18650691211223602, 0.9148525595664978, 0.0, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.112116, 0.477554, -0.630916, -0.140832, 0.082019], [-0.608099, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853269934654236, "train_acc": 0.575, "val_loss": 0.6859214305877686, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6798913776874542, "train_acc": 0.575, "val_loss": 0.6890212893486023, "v... |
9 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.44, "improved_accuracy": 0.84, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9912, "learning_rate": 0.06763596703... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.842122,
0.015741,
0.051535,
0.353978,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.842122,
0.015741,
0.051535,
0.353978,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.3385349214076996, -0.07009513676166534, -0.5622134804725647, 0.4055311977863312, -0.6324090957641602, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.31752291321754456, 0.7601727247238159, 0.1330171823501587, 0.5506798624992371, -0.019359618425369263, 0.0, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.842122, 0.015741, 0.051535, 0.353978, -1.01864], [-0.899785, -0.22... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851777136325836, "train_acc": 0.57, "val_loss": 0.7009117603302002, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6748322248458862, "train_acc": 0.57, "val_loss": 0.665413498878479, "val_... |
10 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7238, "learning_rate": 0.04951377758903085, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.203454,
-0.342495,
0.355585,
-0.31168,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.203454,
-0.342495,
0.355585,
-0.31168,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.10290419310331345, -0.5533551573753357, -0.12154499441385269, -0.3043195605278015, 0.74701988697052, 0.13336606323719025, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.06975428014993668, 0.6521909832954407, -0.023517290130257607, 0.13483500480651855, 0.61740225... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.203454, -0.342495, 0.355585, -0.31168, -0.044038], [-0.223107, 0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.711432009935379, "train_acc": 0.42, "val_loss": 0.6963223218917847, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6952272355556488, "train_acc": 0.46, "val_loss": 0.6921988129615784, "val_a... |
11 | {"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8730, "learning_rate": 0.08439076553... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.218621,
0.451978,
0.385535,
0.600888,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.218621,
0.451978,
0.385535,
0.600888,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.6114744544029236, -0.07372482866048813, -0.18265774846076965, 0.4807562530040741, -0.5127750635147095, 0.2198798954486847, -0.20731660723686218, 0.04367654770612717, 0.0, 0.0]}, "1": {"pca": [-0.4118073284626007, -0.24114751815795898, -0.3557132482528686... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.218621, 0.451978, 0.385535, 0.600888, 0.411199], [-0.457009, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7050071656703949, "train_acc": 0.485, "val_loss": 0.7343175411224365, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793622672557831, "train_acc": 0.575, "val_loss": 0.6727825999259949, "va... |
12 | {"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8716, "learning_rate": 0.0581658111... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.581142,
0.13098,
-0.248281,
0.223807,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.581142,
0.13098,
-0.248281,
0.223807,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.4432392418384552, 0.032037150114774704, 0.3258408010005951, 0.7751591801643372, -0.30889344215393066, -0.00731201097369194, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.6417558193206787, -0.29259684681892395, -0.19211223721504211, 0.5935927629470825, 0.3349533... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.581142, 0.13098, -0.248281, 0.223807, -0.199224], [0.500193, -0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920337677001953, "train_acc": 0.56, "val_loss": 0.6537385582923889, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6465738713741302, "train_acc": 0.56, "val_loss": 0.5607719421386719, "val... |
13 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1561, "learning_rate": 0.047302942313858336, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.189251,
0.248287,
0.232815,
0.242112,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.189251,
0.248287,
0.232815,
0.242112,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.20952923595905304, -0.5458589792251587, 0.08582115173339844, 0.25006821751594543, -0.0008141078287735581, 0.1749953329563141, 0.6899787783622742, 0.2855544686317444, 0.0, 0.0]}, "1": {"pca": [-0.4763330817222595, 0.02609737031161785, -0.15349479019641876... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.189251, 0.248287, 0.232815, 0.242112, -0.454918], [-0.351054, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811478137969971, "train_acc": 0.58, "val_loss": 0.734599769115448, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6693269610404968, "train_acc": 0.58, "val_loss": 0.6648709177970886, "val_... |
14 | {"target_pattern": "ends_with", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4598, "learning_rate": 0.023234583852153514, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.562248,
-0.068072,
0.291358,
0.240097,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.562248,
-0.068072,
0.291358,
0.240097,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.6261561512947083, 0.4547078311443329, -0.4168643653392792, 0.46431657671928406, 0.04932127892971039, -0.007310792803764343, -0.09652700275182724, 0.0, 0.0, 0.0]}, "1": {"pca": [0.6497069597244263, 0.27685490250587463, 0.03184990584850311, 0.618604362010... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.562248, -0.068072, 0.291358, 0.240097, 0.577513], [0.141503, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6933087110519409, "train_acc": 0.42, "val_loss": 0.681195855140686, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6707267165184021, "train_acc": 0.59, "val_loss": 0.631778359413147, "val_a... |
15 | {"target_pattern": "ends_with", "degraded_accuracy": 0.72, "improved_accuracy": 0.94, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6649, "learning_rate": 0.093721482469... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.58002,
-0.531554,
0.25385,
-0.528427,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.58002,
-0.531554,
0.25385,
-0.528427,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5119063854217529, 0.3627258837223053, 0.22194023430347443, 0.18316151201725006, -0.5219022035598755, -0.49837327003479004, -0.05308815836906433, 0.0, 0.0, 0.0]}, "1": {"pca": [0.3895592987537384, -0.34309184551239014, -0.1468600481748581, -0.600567460060... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.58002, -0.531554, 0.25385, -0.528427, -0.923721], [0.466258, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.682884007692337, "train_acc": 0.6, "val_loss": 0.7199963331222534, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6455146372318268, "train_acc": 0.645, "val_loss": 0.6609890460968018, "val_... |
16 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3863, "learning_rate": 0.05238... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.800848,
0.839642,
0.38162,
-0.344089,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.800848,
0.839642,
0.38162,
-0.344089,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5832449197769165, 0.16554756462574005, -0.596355140209198, 0.10560972988605499, -0.4155711829662323, -0.30483946204185486, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.46627068519592285, -0.47423243522644043, 0.2773573100566864, -0.5599020719528198, 0.190620228... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.800848, 0.839642, 0.38162, -0.344089, -0.038459], [0.487874, 0.825... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917659640312195, "train_acc": 0.565, "val_loss": 0.6731625199317932, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6546171605587006, "train_acc": 0.565, "val_loss": 0.5763759016990662, "v... |
17 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5590, "learning_rate": 0.022675333834996262, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.313385,
0.201861,
0.402208,
0.048902,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.313385,
0.201861,
0.402208,
0.048902,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.34713467955589294, -0.0163328368216753, 0.6477987170219421, 0.13798357546329498, 0.22245752811431885, 0.6253485083580017, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.39787089824676514, 0.612527072429657, 0.07476326823234558, 0.25939297676086426, 0.4012817442... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.313385, 0.201861, 0.402208, 0.048902, 0.049837], [0.292332, -0.028... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6715046167373657, "train_acc": 0.595, "val_loss": 0.716606616973877, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.667386919260025, "train_acc": 0.595, "val_loss": 0.6801903247833252, "val... |
18 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6619, "learning_rate": 0.022001113930854306, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.459352,
0.360821,
-0.281777,
-0.161358,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.459352,
0.360821,
-0.281777,
-0.161358,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.31280839443206787, 0.08926369994878769, 0.20492765307426453, -0.42826658487319946, 0.6049671173095703, -0.11120434105396271, -0.5389097332954407, 0.0, 0.0, 0.0]}, "1": {"pca": [0.23102280497550964, 0.6414671540260315, -0.4046759009361267, 0.3477966487407... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.459352, 0.360821, -0.281777, -0.161358, 0.243719], [0.557982, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6788991391658783, "train_acc": 0.585, "val_loss": 0.7247468829154968, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6770074367523193, "train_acc": 0.585, "val_loss": 0.7146794199943542, "v... |
19 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7408, "learning_rate": 0.031609782525046995, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.296028,
-0.038232,
0.04282,
-0.276014,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.296028,
-0.038232,
0.04282,
-0.276014,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.2850928008556366, -0.044365666806697845, -0.31179532408714294, -0.4369365870952606, 0.711114764213562, -0.35062751173973083, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.14656762778759003, 0.6893997192382812, 0.5105613470077515, -0.36094266176223755, 0.137100... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.296028, -0.038232, 0.04282, -0.276014, 0.577125], [-0.409262, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026180326938629, "train_acc": 0.49, "val_loss": 0.6875677704811096, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726579070091248, "train_acc": 0.58, "val_loss": 0.6837964653968811, "val... |
20 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9235, "learning_rate": 0.08526377319166131, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.033593,
0.702865,
0.164122,
-0.048958,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.033593,
0.702865,
0.164122,
-0.048958,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.3706207871437073, 0.8458350896835327, -0.1502605676651001, 0.136336088180542, 0.015416271053254604, 0.32526886463165283, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.6575555205345154, 0.15934576094150543, -0.1015930324792862, 0.2252151072025299, 0.674597740173... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.033593, 0.702865, 0.164122, -0.048958, -1.210441], [-1.872664, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865127384662628, "train_acc": 0.575, "val_loss": 0.6734435558319092, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6814611554145813, "train_acc": 0.525, "val_loss": 0.6371647119522095, "va... |
21 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5550, "learning_rate": 0.03018525747953696, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.217462,
-0.435472,
0.337604,
-0.184248,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.217462,
-0.435472,
0.337604,
-0.184248,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.05613847076892853, -0.3296678066253662, 0.5774564146995544, -0.14305387437343597, 0.7309222221374512, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.2788373529911041, 0.4426182210445404, 0.19099946320056915, 0.809537410736084, 0.18576131761074066, 0.0, 0.0, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.217462, -0.435472, 0.337604, -0.184248, -0.120384], [-0.589987, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6883737742900848, "train_acc": 0.56, "val_loss": 0.6907740235328674, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6765778064727783, "train_acc": 0.56, "val_loss": 0.6738837957382202, "val... |
22 | {"target_pattern": "alternating", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9673, "learning_rate": 0.04707929949995328, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.537896,
-0.534708,
0.289946,
-1.042492,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.537896,
-0.534708,
0.289946,
-1.042492,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.8383997678756714, -0.25134560465812683, -0.03893721476197243, -0.050155121833086014, 0.10770414024591446, 0.10721641033887863, -0.03174097090959549, 0.45362597703933716, 0.0, 0.0]}, "1": {"pca": [-0.17818394303321838, -0.12635377049446106, 0.800922334194... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.537896, -0.534708, 0.289946, -1.042492, 0.377565], [-0.53418, 0.29... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801253259181976, "train_acc": 0.59, "val_loss": 0.7394929528236389, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6604025065898895, "train_acc": 0.59, "val_loss": 0.763409435749054, "val_... |
23 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5839, "learning_rate": 0.0403... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.550644,
-0.16628,
0.053401,
0.276718,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.550644,
-0.16628,
0.053401,
0.276718,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.02640034630894661, 0.4412807822227478, 0.34742942452430725, 0.4901447892189026, 0.46928268671035767, 0.4726509749889374, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.42691099643707275, -0.2260705679655075, -0.5589669346809387, 0.577287495136261, -0.247056335210... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.550644, -0.16628, 0.053401, 0.276718, -0.338821], [-0.451557, 0.55... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6979551613330841, "train_acc": 0.565, "val_loss": 0.710313618183136, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6623717546463013, "train_acc": 0.565, "val_loss": 0.6361328363418579, "va... |
24 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.66, "improved_accuracy": 0.86, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5710, "learning_rate": 0.04174... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.343196,
-0.353889,
0.454466,
0.634002,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.343196,
-0.353889,
0.454466,
0.634002,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.15516839921474457, 0.8715757131576538, 0.3363202214241028, 0.09322871267795563, 0.3073688745498657, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.38645464181900024, -0.16943441331386566, -0.47592976689338684, 0.20568633079528809, 0.7437262535095215, 0.0, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.343196, -0.353889, 0.454466, 0.634002, 0.194642], [-0.094516, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6867174804210663, "train_acc": 0.56, "val_loss": 0.7072522044181824, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806373298168182, "train_acc": 0.56, "val_loss": 0.6894760131835938, "val... |
25 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6606, "learning_rate": 0.08380895327163977, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.926514,
0.215014,
-0.157841,
-0.324272,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.926514,
0.215014,
-0.157841,
-0.324272,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.4556862711906433, -0.24478250741958618, 0.050060760229825974, -0.15659870207309723, 0.8398823142051697, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4080874025821686, 0.7393471598625183, 0.3705037236213684, -0.3741617202758789, -0.09777741134166718, 0.0,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.926514, 0.215014, -0.157841, -0.324272, 0.381628], [0.62942, 0.771... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7224765419960022, "train_acc": 0.42, "val_loss": 0.6825695037841797, "val_acc": 0.68}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667953729629517, "train_acc": 0.57, "val_loss": 0.6518552899360657, "val... |
26 | {"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1069, "learning_rate": 0.028292333607... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.759281,
-0.243321,
0.445126,
0.132959,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.759281,
-0.243321,
0.445126,
0.132959,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5544676184654236, -0.4229356348514557, -0.1961595118045807, 0.055364277213811874, 0.6833627223968506, 0.0718524232506752, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.6486201882362366, 0.2972487211227417, -0.4814404845237732, 0.14050470292568207, -0.48754549026... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.759281, -0.243321, 0.445126, 0.132959, -0.32607], [-0.60845, 0.26... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6835029423236847, "train_acc": 0.575, "val_loss": 0.7079721093177795, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.680736631155014, "train_acc": 0.575, "val_loss": 0.7032382488250732, "va... |
27 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4686, "learning_rate": 0.060714996... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.174933,
-0.058125,
0.426945,
0.375507,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.174933,
-0.058125,
0.426945,
0.375507,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.3320613205432892, -0.3753872513771057, 0.4024542570114136, -0.13361507654190063, 0.2554933428764343, 0.7097326517105103, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5116954445838928, 0.7300690412521362, -0.09482772648334503, -0.38536354899406433, -0.1305925250... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.174933, -0.058125, 0.426945, 0.375507, -0.116432], [1.541582, 1.05... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6745668947696686, "train_acc": 0.57, "val_loss": 0.6401686072349548, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5927648842334747, "train_acc": 0.57, "val_loss": 0.6026546359062195, "val... |
28 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8176, "learning_rate": 0.02412... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.120655,
-0.089143,
0.324964,
0.201107,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.120655,
-0.089143,
0.324964,
0.201107,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.14831121265888214, 0.05300360545516014, -0.22494599223136902, -0.5747635960578918, -0.13145621120929718, 0.7227787375450134, -0.23356083035469055, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.11776980757713318, 0.566203773021698, 0.19967739284038544, -0.1820313781... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.120655, -0.089143, 0.324964, 0.201107, 0.142952], [-0.145468, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7053214013576508, "train_acc": 0.405, "val_loss": 0.690065324306488, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776397526264191, "train_acc": 0.645, "val_loss": 0.6840406060218811, "va... |
29 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1918, "learning_rate": 0.07137... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.444359,
0.54701,
-0.002519,
0.434377,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.444359,
0.54701,
-0.002519,
0.434377,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.5325331687927246, -0.5958954095840454, 0.19412675499916077, 0.38536566495895386, 0.41847965121269226, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.48281610012054443, -0.4928806722164154, -0.2000611126422882, 0.5143983364105225, -0.46832379698753357, 0.0, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.444359, 0.54701, -0.002519, 0.434377, -0.39028], [-0.306066, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849624514579773, "train_acc": 0.57, "val_loss": 0.6712546348571777, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6455834209918976, "train_acc": 0.57, "val_loss": 0.5584654211997986, "val... |
30 | {"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.96, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3728, "learning_rate": 0.013429259276311962, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.256162,
-0.290768,
0.204125,
0.29969,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.256162,
-0.290768,
0.204125,
0.29969,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.01883399859070778, -0.17334237694740295, 0.3313179016113281, 0.6866973042488098, -0.03560556098818779, 0.2566426396369934, -0.5013381838798523, -0.26419657468795776, 0.0, 0.0]}, "1": {"pca": [0.10616400092840195, -0.2198995053768158, -0.3962080180644989,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.256162, -0.290768, 0.204125, 0.29969, 0.12492], [-0.107484, -0.01... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913312673568726, "train_acc": 0.425, "val_loss": 0.6880941987037659, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.674181342124939, "train_acc": 0.61, "val_loss": 0.6925923228263855, "val... |
31 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9912, "learning_rate": 0.07369... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.829794,
-0.272645,
-0.196534,
0.708263,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.829794,
-0.272645,
-0.196534,
0.708263,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.13549448549747467, 0.7752370834350586, 0.30653420090675354, 0.004899292718619108, -0.052631691098213196, -0.1320793330669403, 0.5161845088005066, 0.0, 0.0, 0.0]}, "1": {"pca": [0.0563211590051651, 0.005342446733266115, 0.2832454741001129, 0.5136194229125... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.829794, -0.272645, -0.196534, 0.708263, -0.753361], [0.074904, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6980752944946289, "train_acc": 0.42, "val_loss": 0.704883873462677, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6371829509735107, "train_acc": 0.585, "val_loss": 0.7150649428367615, "val... |
32 | {"target_pattern": "ends_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5557, "learning_rate": 0.09418718101029... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.088345,
-0.366369,
-0.003215,
0.059007,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.088345,
-0.366369,
-0.003215,
0.059007,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.45916447043418884, 0.585371732711792, 0.29338571429252625, -0.009179445914924145, 0.6002903580665588, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.14772769808769226, -0.5519236922264099, -0.12953758239746094, -0.3934553861618042, 0.7084981799125671, 0.0, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.088345, -0.366369, -0.003215, 0.059007, 0.98462], [-0.08763, 0.377... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7028428018093109, "train_acc": 0.415, "val_loss": 0.6350245475769043, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.653238445520401, "train_acc": 0.545, "val_loss": 0.5453678965568542, "val... |
33 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2530, "learning_rate": 0.064936... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.38885,
-0.184567,
-0.129626,
-0.179881,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.38885,
-0.184567,
-0.129626,
-0.179881,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.27454906702041626, 0.07618844509124756, -0.3011772334575653, -0.384851336479187, 0.3519456386566162, -0.20860907435417175, 0.7159723043441772, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5026050806045532, -0.37105900049209595, 0.03773896023631096, 0.356113433837890... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.38885, -0.184567, -0.129626, -0.179881, -0.144555], [-0.879432, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7053015232086182, "train_acc": 0.44, "val_loss": 0.6803657412528992, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6639018952846527, "train_acc": 0.56, "val_loss": 0.656911313533783, "val_... |
34 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2762, "learning_rate": 0.098718... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.766224,
-0.696903,
-0.192292,
-0.061467... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.766224,
-0.696903,
-0.192292,
-0.061467... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.7024635672569275, 0.0006917286082170904, -0.025945978239178658, 0.02843519113957882, -0.43634268641471863, 0.3235432207584381, 0.4582439661026001, 0.0, 0.0, 0.0]}, "1": {"pca": [0.4828668534755707, 0.3379063606262207, -0.5668495893478394, 0.0324593931436... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.766224, -0.696903, -0.192292, -0.061467, -0.947125], [-0.491052, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7077212333679199, "train_acc": 0.485, "val_loss": 0.6959569454193115, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6790381968021393, "train_acc": 0.565, "val_loss": 0.6273982524871826, "v... |
35 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.92, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4695, "learning_rate": 0.034879004551282615, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.01427,
0.018083,
-0.120543,
-0.333249,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.01427,
0.018083,
-0.120543,
-0.333249,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.08652480691671371, -0.5111244916915894, 0.7838077545166016, 0.2492867112159729, 0.2340230494737625, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.7067892551422119, 0.5684226751327515, 0.2064366638660431, -0.06761591136455536, 0.3607723116874695, 0.0, 0.0, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.01427, 0.018083, -0.120543, -0.333249, -0.582172], [0.750777, 0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7249308824539185, "train_acc": 0.425, "val_loss": 0.6825269460678101, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6966964602470398, "train_acc": 0.49, "val_loss": 0.6855247616767883, "va... |
36 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7329, "learning_rate": 0.03327519813566892, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.56181,
-0.013808,
0.036969,
0.217986,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.56181,
-0.013808,
0.036969,
0.217986,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.6196801662445068, 0.10867372900247574, -0.4472847282886505, -0.37438684701919556, 0.5137677788734436, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.41780173778533936, 0.2573670744895935, -0.42744186520576477, 0.5275360941886902, -0.546079695224762, 0.0, 0.0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.56181, -0.013808, 0.036969, 0.217986, 0.633945], [-0.486685, 0.30... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831848621368408, "train_acc": 0.595, "val_loss": 0.711194634437561, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675828367471695, "train_acc": 0.595, "val_loss": 0.6982658505439758, "val... |
37 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1233, "learning_rate": 0.08850... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.887685,
-0.103398,
0.678314,
-0.232849,... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.887685,
-0.103398,
0.678314,
-0.232849,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.20990826189517975, 0.5675512552261353, 0.3532145023345947, -0.0001086382835637778, 0.16774652898311615, -0.6573246717453003, 0.21900326013565063, -0.029775002971291542, 0.0, 0.0]}, "1": {"pca": [-0.0884128287434578, -0.0969814658164978, -0.2335617244243... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.887685, -0.103398, 0.678314, -0.232849, 0.425565], [0.016815, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917854249477386, "train_acc": 0.525, "val_loss": 0.6899579763412476, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6955147981643677, "train_acc": 0.555, "val_loss": 0.6501004695892334, "v... |
38 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5721, "learning_rate": 0.07630... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.035578,
0.554969,
0.125841,
0.237395,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.035578,
0.554969,
0.125841,
0.237395,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.6190519332885742, -0.01654246635735035, -0.36415135860443115, 0.3040803074836731, 0.46106186509132385, -0.4229089021682739, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5658815503120422, -0.3413354158401489, 0.41697150468826294, -0.155686154961586, 0.1870357096... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.035578, 0.554969, 0.125841, 0.237395, -0.397723], [0.964558, 0.455... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6952904462814331, "train_acc": 0.555, "val_loss": 0.671826958656311, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6663579344749451, "train_acc": 0.555, "val_loss": 0.5850833058357239, "va... |
39 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7126, "learning_rate": 0.030127597654600026,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.512163,
-0.522806,
0.516336,
0.139956,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.512163,
-0.522806,
0.516336,
0.139956,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.41807883977890015, -0.5877904891967773, 0.38350334763526917, 0.1907804161310196, -0.4802512228488922, 0.2561233639717102, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.6163637638092041, -0.035007428377866745, 0.7155016660690308, 0.06835390627384186, 0.225635543... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.512163, -0.522806, 0.516336, 0.139956, 0.526792], [-0.60214, 0.50... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.686002105474472, "train_acc": 0.56, "val_loss": 0.67762291431427, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6715050339698792, "train_acc": 0.56, "val_loss": 0.6551123261451721, "val_ac... |
40 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2219, "learning_rate": 0.0403948144... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.451647,
0.343264,
-0.53204,
-0.293523,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.451647,
0.343264,
-0.53204,
-0.293523,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.20665325224399567, -0.14596791565418243, 0.7447376847267151, -0.16391390562057495, -0.4075870215892792, 0.4340030550956726, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.37353435158729553, 0.3850420117378235, -0.408597856760025, 0.0012946520000696182, -0.551319... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.451647, 0.343264, -0.53204, -0.293523, 0.154999], [-0.743736, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6843861043453217, "train_acc": 0.57, "val_loss": 0.7013543844223022, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6792232692241669, "train_acc": 0.57, "val_loss": 0.701521635055542, "val_... |
41 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8462, "learning_rate": 0.07248... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.276988,
0.499899,
-0.13209,
-0.337553,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.276988,
0.499899,
-0.13209,
-0.337553,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.2414511889219284, -0.3532950282096863, -0.19224397838115692, 0.8507964015007019, -0.23679454624652863, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.39498171210289, 0.5480011105537415, 0.3848239779472351, 0.5235966444015503, 0.3484843373298645, 0.0, 0.0, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.276988, 0.499899, -0.13209, -0.337553, 0.393953], [-0.894026, 0.02... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851702034473419, "train_acc": 0.565, "val_loss": 0.6832393407821655, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817259788513184, "train_acc": 0.565, "val_loss": 0.6732310652732849, "v... |
42 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1226, "learning_rate": 0.07754... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.434053,
0.082471,
-0.307601,
-0.160863,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.434053,
0.082471,
-0.307601,
-0.160863,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.029182927682995796, 0.5192375779151917, -0.5180646777153015, -0.07947615534067154, -0.2727964222431183, 0.6167781949043274, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.1746768206357956, -0.21594564616680145, -0.5109491944313049, 0.5034486651420593, 0.63038861... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.434053, 0.082471, -0.307601, -0.160863, 0.716735], [0.243751, 0.19... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956753432750702, "train_acc": 0.485, "val_loss": 0.696185290813446, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6775143444538116, "train_acc": 0.565, "val_loss": 0.6569715142250061, "va... |
43 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4380, "learning_rate": 0.092685... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.671215,
-0.498763,
-0.561725,
0.850193,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.671215,
-0.498763,
-0.561725,
0.850193,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5829360485076904, -0.16074645519256592, -0.07032810896635056, -0.5067559480667114, -0.4264274835586548, -0.4028036594390869, -0.1688411384820938, 0.0, 0.0, 0.0]}, "1": {"pca": [0.0288385022431612, 0.6923834681510925, 0.14306114614009857, -0.3049094080924... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.671215, -0.498763, -0.561725, 0.850193, 0.304768], [-0.289712, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869952082633972, "train_acc": 0.48, "val_loss": 0.6265776753425598, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5775946080684662, "train_acc": 0.565, "val_loss": 0.512143075466156, "val... |
44 | {"target_pattern": "palindrome", "degraded_accuracy": 0.42, "improved_accuracy": 0.86, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.08654281702479058, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.859427,
-0.447397,
0.099265,
0.31437,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.859427,
-0.447397,
0.099265,
0.31437,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.1515807807445526, 0.5505861043930054, 0.7702064514160156, 0.015165445394814014, 0.17946559190750122, -0.022411992773413658, 0.21844877302646637, -0.0004279420245438814, 0.0, 0.0]}, "1": {"pca": [-0.6128681898117065, 0.3643290102481842, -0.35450094938278... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.859427, -0.447397, 0.099265, 0.31437, 0.509916], [-0.561111, -0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6927280426025391, "train_acc": 0.485, "val_loss": 1.0870683193206787, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.727341890335083, "train_acc": 0.605, "val_loss": 0.7122576832771301, "va... |
45 | {"target_pattern": "has_majority", "degraded_accuracy": 0.48, "improved_accuracy": 0.8, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2332, "learning_rate": 0.0237442764... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.268713,
0.350749,
-0.157798,
0.416763,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.268713,
0.350749,
-0.157798,
0.416763,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.557305097579956, 0.07242017984390259, 0.25871872901916504, -0.34915637969970703, -0.23105663061141968, 0.3102959990501404, 0.20961959660053253, 0.5492810010910034, 0.0, 0.0]}, "1": {"pca": [0.19783928990364075, 0.7040333151817322, -0.20326131582260132, -... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.268713, 0.350749, -0.157798, 0.416763, 0.434185], [0.021253, 0.317... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6804273724555969, "train_acc": 0.58, "val_loss": 0.705160915851593, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721438765525818, "train_acc": 0.58, "val_loss": 0.7136952877044678, "val_... |
46 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.38, "improved_accuracy": 0.64, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7278, "learning_rate": 0.09771410755329471, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.132981,
0.484484,
0.387191,
0.448859,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.132981,
0.484484,
0.387191,
0.448859,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.4686688184738159, 0.3007343113422394, 0.11229744553565979, 0.15502946078777313, -0.2247162163257599, -0.29324841499328613, 0.16677448153495789, 0.6992551684379578, 0.0, 0.0]}, "1": {"pca": [0.0004547318967524916, -0.4906376004219055, 0.6388451457023621, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.132981, 0.484484, 0.387191, 0.448859, 0.07743], [0.167567, 0.13197... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7207748591899872, "train_acc": 0.435, "val_loss": 0.7325804233551025, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6662233173847198, "train_acc": 0.605, "val_loss": 0.6824243068695068, "v... |
47 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7269, "learning_rate": 0.02951608123... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.341285,
-0.537823,
-0.324501,
0.015859,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.341285,
-0.537823,
-0.324501,
0.015859,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.31399935483932495, 0.5229798555374146, -0.22108611464500427, -0.0007777138380333781, -0.17134106159210205, -0.18773074448108673, 0.338519424200058, 0.6323138475418091, 0.0, 0.0]}, "1": {"pca": [0.527492105960846, -0.08641466498374939, -0.097158357501029... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.341285, -0.537823, -0.324501, 0.015859, -0.092971], [0.869641, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.700070321559906, "train_acc": 0.42, "val_loss": 0.6918773055076599, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6760436296463013, "train_acc": 0.545, "val_loss": 0.6910151839256287, "val_... |
48 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4530, "learning_rate": 0.06763365997109541, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.033612,
0.739075,
0.104267,
0.340291,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.033612,
0.739075,
0.104267,
0.340291,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.3479492962360382, 0.583568274974823, -0.021636653691530228, -0.5252641439437866, -0.04565797373652458, -0.5098275542259216, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.28847095370292664, -0.15289394557476044, 0.17535440623760223, 0.16450269520282745, 0.8836024... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.033612, 0.739075, 0.104267, 0.340291, -0.392393], [0.351446, 0.444... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6708534359931946, "train_acc": 0.585, "val_loss": 0.6724363565444946, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6450681090354919, "train_acc": 0.585, "val_loss": 0.6004613041877747, "va... |
49 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.62, "improved_accuracy": 0.8, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3200, "learning_rate": 0.0832650... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.008234,
-0.156379,
0.640387,
-0.831872,
... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.008234,
-0.156379,
0.640387,
-0.831872,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.48612236976623535, 0.6218763589859009, -0.07707730680704117, 0.42740678787231445, -0.1100705936551094, -0.37577909231185913, 0.1871146261692047, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5930166840553284, 0.32595035433769226, 0.06486034393310547, -0.398442476987... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.008234, -0.156379, 0.640387, -0.831872, -0.130559], [-1.032941, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6999987065792084, "train_acc": 0.45, "val_loss": 0.6741407513618469, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819465160369873, "train_acc": 0.55, "val_loss": 0.6516099572181702, "val... |
50 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4684, "learning_rate": 0.079916... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.571047,
0.181517,
-0.48579,
-0.601306,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.571047,
0.181517,
-0.48579,
-0.601306,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.21457338333129883, 0.8114790320396423, 0.009574450552463531, 0.46871820092201233, 0.06252843141555786, 0.2678840160369873, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4970874488353729, -0.10006394237279892, -0.6636249423027039, 0.24481604993343353, -0.3227792... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.571047, 0.181517, -0.48579, -0.601306, -0.420025], [0.87002, 0.85... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6733616590499878, "train_acc": 0.56, "val_loss": 0.6000702381134033, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5687891244888306, "train_acc": 0.76, "val_loss": 0.49375516176223755, "va... |
51 | {"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7526, "learning_rate": 0.04947023518192155, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.264662,
0.353129,
0.068446,
-0.021339,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.264662,
0.353129,
0.068446,
-0.021339,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.2230154573917389, -0.23125781118869781, 0.0119874756783247, -0.13505323231220245, 0.582282304763794, 0.12296412885189056, 0.724035918712616, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4223032593727112, -0.07746431231498718, 0.39534130692481995, 0.740785300731658... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.264662, 0.353129, 0.068446, -0.021339, 0.162246], [0.799043, -0.36... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6838089227676392, "train_acc": 0.6, "val_loss": 0.7547265887260437, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6643999516963959, "train_acc": 0.6, "val_loss": 0.7544999718666077, "val_a... |
52 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1555, "learning_rate": 0.087709... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.674405,
-0.735494,
0.158398,
0.382273,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.674405,
-0.735494,
0.158398,
0.382273,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.2598112225532532, 0.6840553879737854, -0.17379310727119446, -0.050524599850177765, 0.2935209274291992, -0.5879243016242981, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.4701121151447296, -0.16245469450950623, 0.27258598804473877, -0.41065531969070435, 0.6489878... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.674405, -0.735494, 0.158398, 0.382273, 0.433629], [-0.020089, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7196536958217621, "train_acc": 0.425, "val_loss": 0.7127277851104736, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6993271708488464, "train_acc": 0.575, "val_loss": 0.6792657971382141, "v... |
53 | {"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3655, "learning_rate": 0.029582557180... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.328302,
-0.057087,
-0.065415,
-0.132565... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.328302,
-0.057087,
-0.065415,
-0.132565... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.2897883951663971, -0.25515875220298767, -0.08410894125699997, 0.029923172667622566, 0.719987154006958, 0.2733123302459717, 0.499865859746933, 0.0, 0.0, 0.0]}, "1": {"pca": [0.43040910363197327, 0.09735840559005737, -0.11923034489154816, -0.55404311418533... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.328302, -0.057087, -0.065415, -0.132565, -0.403729], [-0.715393, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6838411092758179, "train_acc": 0.58, "val_loss": 0.7254154682159424, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6764920651912689, "train_acc": 0.58, "val_loss": 0.7006083726882935, "val... |
54 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1500, "learning_rate": 0.034115... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.442335,
-0.368808,
-0.140111,
-0.169878... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.442335,
-0.368808,
-0.140111,
-0.169878... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.06436852365732193, 0.5756927132606506, -0.36685606837272644, -0.46696335077285767, -0.261515349149704, -0.18310001492500305, 0.1272277534008026, 0.44010642170906067, 0.0, 0.0]}, "1": {"pca": [0.1266312599182129, 0.16756302118301392, -0.259100079536438, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.442335, -0.368808, -0.140111, -0.169878, 0.038544], [-0.326339, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6790829300880432, "train_acc": 0.515, "val_loss": 0.6356131434440613, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6089609265327454, "train_acc": 0.565, "val_loss": 0.5525201559066772, "va... |
55 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9152, "learning_rate": 0.0867121663... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.319246,
-0.348991,
0.710214,
0.326631,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.319246,
-0.348991,
0.710214,
0.326631,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.3404281735420227, 0.13742408156394958, 0.3446938991546631, -0.4614006280899048, -0.15446220338344574, 0.24386242032051086, 0.6709630489349365, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5845221877098083, -0.4280012547969818, 0.61686772108078, -0.20797018706798553... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.319246, -0.348991, 0.710214, 0.326631, 0.120691], [0.05777, -0.20... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916540861129761, "train_acc": 0.48, "val_loss": 0.6977667808532715, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.653337836265564, "train_acc": 0.58, "val_loss": 0.6420252919197083, "val_... |
56 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1990, "learning_rate": 0.069412... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.215843,
-0.620096,
0.529856,
-0.531663,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.215843,
-0.620096,
0.529856,
-0.531663,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.3486058712005615, 0.5092782974243164, 0.452119380235672, -0.5956994295120239, -0.19875004887580872, -0.06935634464025497, -0.10863170027732849, 0.06105026975274086, 0.0, 0.0]}, "1": {"pca": [-0.09101679921150208, -0.2233947366476059, 0.4511529803276062,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.215843, -0.620096, 0.529856, -0.531663, 0.621789], [-0.227414, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7053126692771912, "train_acc": 0.435, "val_loss": 0.6752603054046631, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654783308506012, "train_acc": 0.565, "val_loss": 0.5782729387283325, "va... |
57 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5967, "learning_rate": 0.0948880508570736, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.170861,
-0.457123,
0.446644,
0.47697,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.170861,
-0.457123,
0.446644,
0.47697,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5794100165367126, 0.2834622263908386, -0.484458327293396, -0.5850628614425659, -0.08327516913414001, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5117573142051697, -0.1735028177499771, 0.34593144059181213, 0.027197394520044327, 0.7665461301803589, 0.0, 0.0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.170861, -0.457123, 0.446644, 0.47697, 0.332663], [-0.6038, -0.695... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6826244592666626, "train_acc": 0.58, "val_loss": 0.7046111822128296, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6759046316146851, "train_acc": 0.58, "val_loss": 0.716508150100708, "val_... |
58 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4033, "learning_rate": 0.08462919525216023, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.752967,
0.968053,
-0.443506,
0.145143,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.752967,
0.968053,
-0.443506,
0.145143,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.646602988243103, 0.38381463289260864, 0.5978274941444397, -0.276866614818573, -0.023195404559373856, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.7258388996124268, -0.1268220841884613, -0.48558753728866577, 0.4703716039657593, 0.005416464991867542, 0.0, 0.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.752967, 0.968053, -0.443506, 0.145143, -0.11013], [1.812003, 0.517... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.725571870803833, "train_acc": 0.425, "val_loss": 0.6939166188240051, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875214576721191, "train_acc": 0.575, "val_loss": 0.7088519930839539, "val... |
59 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8921, "learning_rate": 0.06987924439740925, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.40037,
-0.358377,
0.158165,
0.121986,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.40037,
-0.358377,
0.158165,
0.121986,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.06976046413183212, -0.33658042550086975, 0.4796147048473358, 0.5231582522392273, 0.34771931171417236, -0.5071622729301453, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.5455878376960754, -0.5272771120071411, 0.3568934202194214, -0.4278329908847809, 0.1730769127... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.40037, -0.358377, 0.158165, 0.121986, 0.091309], [0.554512, 0.6705... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6862658262252808, "train_acc": 0.55, "val_loss": 0.6804131865501404, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6881936490535736, "train_acc": 0.55, "val_loss": 0.6716941595077515, "val... |
60 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1656, "learning_rate": 0.03093812641771275, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.851455,
0.4653,
-0.156167,
0.2836,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.851455,
0.4653,
-0.156167,
0.2836,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5308182835578918, -0.2182130515575409, 0.3710330128669739, 0.40854743123054504, -0.11559619754552841, 0.00403231056407094, 0.5938516855239868, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.26777538657188416, -0.5215076804161072, -0.16435319185256958, -0.507933437824... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.851455, 0.4653, -0.156167, 0.2836, 0.132912], [-0.750345, 0.188885... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7105435132980347, "train_acc": 0.425, "val_loss": 0.6835799217224121, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6752403378486633, "train_acc": 0.59, "val_loss": 0.6620734333992004, "va... |
61 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8397, "learning_rate": 0.089306721026... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.497815,
-0.403753,
-0.711815,
0.164955,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.497815,
-0.403753,
-0.711815,
0.164955,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.017999660223722458, 0.651785135269165, 0.3450826108455658, -0.36422690749168396, 0.22826316952705383, -0.1483880877494812, -0.3968949317932129, 0.3024238348007202, 0.0, 0.0]}, "1": {"pca": [0.5442725419998169, -0.08617301285266876, -0.07039684057235718, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.497815, -0.403753, -0.711815, 0.164955, 0.782897], [-0.622843, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910337209701538, "train_acc": 0.505, "val_loss": 0.7218214273452759, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6773779988288879, "train_acc": 0.575, "val_loss": 0.6384350061416626, "va... |
62 | {"target_pattern": "starts_with", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6061, "learning_rate": 0.0588570000... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.778811,
0.444989,
0.220554,
0.243929,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.778811,
0.444989,
0.220554,
0.243929,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.522972583770752, -0.5155766606330872, 0.10105380415916443, -0.4240778684616089, 0.0932418629527092, -0.5095733404159546, -0.04761749878525734, 0.0, 0.0, 0.0]}, "1": {"pca": [0.06454268842935562, 0.13099753856658936, 0.455061137676239, -0.0549640581011772... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.778811, 0.444989, 0.220554, 0.243929, -0.549319], [0.36284, -0.264... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6918321549892426, "train_acc": 0.46, "val_loss": 0.6722301244735718, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6632556319236755, "train_acc": 0.56, "val_loss": 0.6268573999404907, "val... |
63 | {"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7197, "learning_rate": 0.08688366422246055, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.565239,
-0.560834,
-0.236287,
0.70781,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.565239,
-0.560834,
-0.236287,
0.70781,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.43445688486099243, 0.36103957891464233, 0.45164674520492554, 0.6402943134307861, -0.2587200701236725, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4787006974220276, -0.23944799602031708, 0.25047367811203003, -0.04093156382441521, 0.8056660890579224, 0.0,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.565239, -0.560834, -0.236287, 0.70781, 0.446184], [-0.735784, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6836851239204407, "train_acc": 0.505, "val_loss": 0.6525481939315796, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6869745254516602, "train_acc": 0.565, "val_loss": 0.5911752581596375, "v... |
64 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5430, "learning_rate": 0.03546624720... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.360887,
0.365763,
0.372575,
0.346736,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.360887,
0.365763,
0.372575,
0.346736,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.6275091767311096, 0.6212221384048462, 0.054080285131931305, -0.32691633701324463, 0.17877976596355438, 0.28027498722076416, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4089927673339844, 0.6207993030548096, -0.27927467226982117, 0.05423249676823616, -0.6038467... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.360887, 0.365763, 0.372575, 0.346736, 0.565589], [-0.453324, 0.206... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7196221351623535, "train_acc": 0.445, "val_loss": 0.703928530216217, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.698947936296463, "train_acc": 0.445, "val_loss": 0.6876408457756042, "val... |
65 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9256, "learning_rate": 0.07472842518... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.773253,
-0.32264,
-0.274362,
0.418749,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.773253,
-0.32264,
-0.274362,
0.418749,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.491195946931839, -0.3054013252258301, -0.1758851557970047, 0.5449886322021484, 0.2748831808567047, -0.5118081569671631, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.575538158416748, -0.5532415509223938, -0.4008766710758209, -0.18810760974884033, 0.402337282896... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.773253, -0.32264, -0.274362, 0.418749, 0.43286], [-0.291293, -0.23... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.693499743938446, "train_acc": 0.465, "val_loss": 0.651838481426239, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6434215903282166, "train_acc": 0.555, "val_loss": 0.49220314621925354, "va... |
66 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.4, "improved_accuracy": 0.96, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7559, "learning_rate": 0.0506428... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.621284,
0.280947,
-0.273872,
0.371556,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.621284,
0.280947,
-0.273872,
0.371556,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.48661088943481445, 0.11757523566484451, 0.7840099930763245, -0.32371699810028076, -0.039571527391672134, 0.052419472485780716, -0.16002461314201355, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.41687604784965515, 0.4411027431488037, 0.39377346634864807, 0.169367372... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.621284, 0.280947, -0.273872, 0.371556, -0.079507], [-1.230336, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6763601899147034, "train_acc": 0.6, "val_loss": 0.7492409348487854, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6635335981845856, "train_acc": 0.6, "val_loss": 0.7629005908966064, "val_ac... |
67 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1987, "learning_rate": 0.098018428556... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.393359,
-0.072159,
-0.006776,
-0.099029,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.393359,
-0.072159,
-0.006776,
-0.099029,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.5453909635543823, -0.13760733604431152, -0.09479323029518127, 0.8200322389602661, -0.04662938043475151, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.26439860463142395, 0.37650302052497864, -0.30074542760849, 0.2495955526828766, 0.7972409129142761, 0.0, 0.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.393359, -0.072159, -0.006776, -0.099029, 1.338944], [-0.321369, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7016366422176361, "train_acc": 0.425, "val_loss": 0.7068649530410767, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817004978656769, "train_acc": 0.575, "val_loss": 0.6902534365653992, "v... |
68 | {"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.78, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6710, "learning_rate": 0.09627489135223287, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.06015,
0.341408,
0.470476,
0.920742,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.06015,
0.341408,
0.470476,
0.920742,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.8025435209274292, -0.35584715008735657, 0.021213874220848083, 0.37295758724212646, 0.299581915140152, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.02977711521089077, 0.1894952654838562, -0.2732319235801697, -0.5063775777816772, 0.7950666546821594, 0.0, 0.0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.06015, 0.341408, 0.470476, 0.920742, -0.165408], [-0.011238, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.703551322221756, "train_acc": 0.465, "val_loss": 0.7750459313392639, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811380982398987, "train_acc": 0.595, "val_loss": 0.7534887194633484, "va... |
69 | {"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.68, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1589, "learning_rate": 0.06731982305008094, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.137096,
0.488411,
-1.115787,
-1.067601,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.137096,
0.488411,
-1.115787,
-1.067601,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.492671936750412, 0.44898006319999695, 0.42856600880622864, -0.033055629581213, -0.16467246413230896, 0.12412522733211517, 0.21024709939956665, -0.5331058502197266, 0.0, 0.0]}, "1": {"pca": [-0.35523924231529236, -0.02943829447031021, 0.47885358333587646,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.137096, 0.488411, -1.115787, -1.067601, 0.061188], [-0.090351, 0.6... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895110011100769, "train_acc": 0.575, "val_loss": 0.7597459554672241, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7105405330657959, "train_acc": 0.605, "val_loss": 0.770423412322998, "val... |
70 | {"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.76, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9462, "learning_rate": 0.08550282795075823, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.915313,
0.585073,
0.157748,
-0.017359,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.915313,
0.585073,
0.157748,
-0.017359,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.7048421502113342, -0.2896632254123688, 0.277908056974411, 0.2896791696548462, 0.5027273297309875, -0.07355996966362, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4470638036727905, -0.10575199127197266, 0.2651558518409729, -0.11382559686899185, 0.57454961538314... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.915313, 0.585073, 0.157748, -0.017359, -0.419838], [-1.144671, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6883852183818817, "train_acc": 0.58, "val_loss": 0.7223088145256042, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789058446884155, "train_acc": 0.58, "val_loss": 0.6829744577407837, "val... |
71 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3248, "learning_rate": 0.077374... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.717733,
0.660124,
0.125855,
0.120202,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.717733,
0.660124,
0.125855,
0.120202,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5910850167274475, 0.22350426018238068, 0.5677007436752319, -0.019281091168522835, -0.047227565199136734, -0.15238523483276367, -0.5025502443313599, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5747209191322327, -0.2766021192073822, -0.49537238478660583, 0.2781389355... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.717733, 0.660124, 0.125855, 0.120202, 0.479291], [0.833805, 0.4717... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69907346367836, "train_acc": 0.42, "val_loss": 0.6971778869628906, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6747669875621796, "train_acc": 0.58, "val_loss": 0.6334229707717896, "val_ac... |
72 | {"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.78, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6878, "learning_rate": 0.05457161578951563, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.195557,
-0.110625,
-0.623039,
0.479945,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.195557,
-0.110625,
-0.623039,
0.479945,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.46359825134277344, -0.41547414660453796, -0.260204941034317, 0.7149373888969421, 0.18334612250328064, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.8287723064422607, -0.4169182777404785, 0.14789089560508728, 0.3133929669857025, 0.13866780698299408, 0.0, 0.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.195557, -0.110625, -0.623039, 0.479945, -0.362925], [0.001655, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6917513906955719, "train_acc": 0.58, "val_loss": 0.7050176858901978, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.681920737028122, "train_acc": 0.58, "val_loss": 0.6778430342674255, "val_a... |
73 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2970, "learning_rate": 0.0248716389566883, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.648261,
0.599699,
0.383062,
-0.247091,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.648261,
0.599699,
0.383062,
-0.247091,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.4954241216182709, 0.4950859546661377, 0.09113321453332901, -0.31810909509658813, -0.5175512433052063, -0.1474505513906479, 0.3262062072753906, -0.06272760778665543, 0.0, 0.0]}, "1": {"pca": [-0.15523381531238556, -0.08915038406848907, -0.3426989316940307... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.648261, 0.599699, 0.383062, -0.247091, -0.022299], [-0.317648, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.681139200925827, "train_acc": 0.57, "val_loss": 0.6746230125427246, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.646081268787384, "train_acc": 0.57, "val_loss": 0.6178187727928162, "val_a... |
74 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2427, "learning_rate": 0.0927585181375476, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.421855,
0.280888,
-0.255323,
-0.478444,... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.421855,
0.280888,
-0.255323,
-0.478444,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.09032279253005981, 0.05258016660809517, -0.3033512532711029, 0.5082283020019531, 0.4044016897678375, -0.0919681191444397, 0.6327670216560364, 0.2576163411140442, 0.0, 0.0]}, "1": {"pca": [0.40853363275527954, 0.01614941470324993, 0.1948523074388504, -0.2... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.421855, 0.280888, -0.255323, -0.478444, 0.362063], [-0.722641, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6868621706962585, "train_acc": 0.555, "val_loss": 0.6876381039619446, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6897172033786774, "train_acc": 0.575, "val_loss": 0.6749606132507324, "v... |
75 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.42, "improved_accuracy": 0.76, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9102, "learning_rate": 0.06655517745473732, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.091191,
0.45468,
0.008328,
0.155459,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.091191,
0.45468,
0.008328,
0.155459,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.40679627656936646, 0.3183593451976776, -0.051235027611255646, 0.6211161017417908, -0.22819867730140686, -0.5393775701522827, -0.041845135390758514, 0.0, 0.0, 0.0]}, "1": {"pca": [0.12498324364423752, -0.3952915072441101, 0.48160165548324585, -0.314202010... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.091191, 0.45468, 0.008328, 0.155459, -0.48798], [0.07416, 0.124536... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.673984944820404, "train_acc": 0.58, "val_loss": 0.7810333371162415, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6801080405712128, "train_acc": 0.58, "val_loss": 0.70863938331604, "val_ac... |
76 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4953, "learning_rate": 0.0557724065106599, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.372741,
0.020251,
-0.047919,
0.419033,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.372741,
0.020251,
-0.047919,
0.419033,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.056305840611457825, 0.5433008670806885, -0.035414837300777435, 0.06895219534635544, 0.1506289839744568, 0.8155449628829956, -0.08855811506509781, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.4255245625972748, 0.25691813230514526, -0.295785129070282, 0.5423502922058... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.372741, 0.020251, -0.047919, 0.419033, -0.1502], [-0.270273, 0.295... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859725713729858, "train_acc": 0.575, "val_loss": 0.702968418598175, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782135963439941, "train_acc": 0.575, "val_loss": 0.6946873664855957, "va... |
77 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.88, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1321, "learning_rate": 0.030354501377005523, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.487975,
-0.393797,
0.183297,
0.066659,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.487975,
-0.393797,
0.183297,
0.066659,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.21949920058250427, 0.1211397722363472, 0.3689996004104614, 0.7667434215545654, -0.08328022062778473, -0.14884448051452637, 0.4105178117752075, -0.12439429759979248, 0.0, 0.0]}, "1": {"pca": [-0.5026853680610657, 0.42750489711761475, -0.23292678594589233,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.487975, -0.393797, 0.183297, 0.066659, 0.043619], [-0.534299, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6797433197498322, "train_acc": 0.61, "val_loss": 0.747314989566803, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713183522224426, "train_acc": 0.61, "val_loss": 0.7935436964035034, "val_... |
78 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.8, "improved_accuracy": 0.96, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3861, "learning_rate": 0.07778... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.491718,
0.225507,
-0.036287,
0.582295,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.491718,
0.225507,
-0.036287,
0.582295,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.40993618965148926, 0.6295638084411621, -0.08248132467269897, -0.0157376267015934, 0.040866419672966, -0.21801090240478516, 0.6067585349082947, -0.1058121845126152, 0.0, 0.0]}, "1": {"pca": [0.0061537898145616055, -0.4818529486656189, 0.0325433611869812, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.491718, 0.225507, -0.036287, 0.582295, 0.296023], [0.14002, -0.46... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6735091209411621, "train_acc": 0.635, "val_loss": 0.5141478776931763, "val_acc": 0.88}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.647592157125473, "train_acc": 0.855, "val_loss": 0.6193809509277344, "va... |
79 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1010, "learning_rate": 0.03996134763137817, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.803655,
0.692811,
0.195408,
0.019892,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.803655,
0.692811,
0.195408,
0.019892,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.6332805156707764, 0.29745790362358093, 0.1294274926185608, 0.09288354218006134, -0.40520593523979187, -0.530145525932312, -0.19909055531024933, 0.014581052586436272, 0.0, 0.0]}, "1": {"pca": [-0.23553715646266937, -0.49745914340019226, 0.2314401417970657... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.803655, 0.692811, 0.195408, 0.019892, 0.195679], [-0.431603, -0.05... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7037507593631744, "train_acc": 0.435, "val_loss": 0.6908996105194092, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6811867952346802, "train_acc": 0.565, "val_loss": 0.7012979388237, "val_... |
80 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9268, "learning_rate": 0.02236... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.716034,
-0.535215,
-0.080554,
-0.197053... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.716034,
-0.535215,
-0.080554,
-0.197053... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.44750285148620605, -0.3487355709075928, -0.017489884048700333, 0.6481994986534119, 0.13911570608615875, 0.030191589146852493, -0.031368572264909744, -0.48621758818626404, 0.0, 0.0]}, "1": {"pca": [-0.19256149232387543, 0.11327609419822693, 0.843892097473... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.716034, -0.535215, -0.080554, -0.197053, 0.046204], [-0.032647, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6740308105945587, "train_acc": 0.585, "val_loss": 0.6943375468254089, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6603631675243378, "train_acc": 0.585, "val_loss": 0.6690419912338257, "va... |
81 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2437, "learning_rate": 0.034452381668... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.503195,
-0.241519,
0.293972,
-0.27965,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.503195,
-0.241519,
0.293972,
-0.27965,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.20881691575050354, 0.5845274925231934, 0.153766930103302, 0.12548783421516418, 0.7282646894454956, 0.16100764274597168, -0.13798098266124725, 0.0, 0.0, 0.0]}, "1": {"pca": [0.22903384268283844, 0.6912106871604919, -0.010055896826088428, 0.241102784872055... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.503195, -0.241519, 0.293972, -0.27965, 0.478143], [0.72939, 0.0198... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7171808183193207, "train_acc": 0.425, "val_loss": 0.6932950019836426, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6958397924900055, "train_acc": 0.455, "val_loss": 0.6922211647033691, "va... |
82 | {"target_pattern": "palindrome", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5817, "learning_rate": 0.0356339881911424, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.557373,
0.418735,
-0.383458,
-0.267281,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.557373,
0.418735,
-0.383458,
-0.267281,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.604787290096283, 0.2068973332643509, -0.34058845043182373, 0.2254505753517151, -0.3352719843387604, -0.5587397217750549, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.4351229965686798, 0.17151424288749695, 0.505162239074707, 0.10700664669275284, 0.70127874612808... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.557373, 0.418735, -0.383458, -0.267281, 0.6815], [0.444975, -0.025... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7434296905994415, "train_acc": 0.41, "val_loss": 0.6811801791191101, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.701702207326889, "train_acc": 0.41, "val_loss": 0.6758021712303162, "val_... |
83 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9094, "learning_rate": 0.08564408891302143, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.008483,
0.922108,
0.549315,
0.199882,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.008483,
0.922108,
0.549315,
0.199882,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.5719455480575562, 0.25970470905303955, -0.10303308069705963, -0.02364806830883026, 0.07574478536844254, 0.749353289604187, -0.06685230135917664, 0.15006613731384277, 0.0, 0.0]}, "1": {"pca": [0.24030686914920807, -0.18867860734462738, -0.414462566375732... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.008483, 0.922108, 0.549315, 0.199882, 0.226286], [0.472923, -1.15... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6830781698226929, "train_acc": 0.585, "val_loss": 0.728059709072113, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818589568138123, "train_acc": 0.585, "val_loss": 0.7512681484222412, "val... |
84 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.92, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5856, "learning_rate": 0.08858829345622805, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.492504,
0.399749,
0.217268,
0.482006,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.492504,
0.399749,
0.217268,
0.482006,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.40548259019851685, -0.14676392078399658, -0.2331642061471939, 0.27622127532958984, 0.4825170636177063, 0.6262753009796143, -0.2280794382095337, -0.07947786897420883, 0.0, 0.0]}, "1": {"pca": [0.5429973006248474, -0.10120644420385361, -0.0325087085366249... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.492504, 0.399749, 0.217268, 0.482006, -0.186106], [0.816178, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809417903423309, "train_acc": 0.42, "val_loss": 0.9309852123260498, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6743521392345428, "train_acc": 0.59, "val_loss": 0.6586210131645203, "val... |
85 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2457, "learning_rate": 0.017223132620327108, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.698058,
0.348824,
-0.07055,
-0.09184,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.698058,
0.348824,
-0.07055,
-0.09184,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5608660578727722, 0.07840555161237717, -0.32958677411079407, 0.6597104668617249, 0.33067160844802856, 0.0818774402141571, -0.06395990401506424, -0.12368510663509369, 0.0, 0.0]}, "1": {"pca": [-0.1836031973361969, 0.7637407779693604, 0.3031454384326935, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.698058, 0.348824, -0.07055, -0.09184, 0.001706], [-0.149766, -0.44... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6928646564483643, "train_acc": 0.495, "val_loss": 0.6877825856208801, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6836256980895996, "train_acc": 0.565, "val_loss": 0.6785229444503784, "v... |
86 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2102, "learning_rate": 0.06715... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.333311,
0.262443,
0.089214,
0.76684,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.333311,
0.262443,
0.089214,
0.76684,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.4372982680797577, -0.5018118023872375, 0.020788978785276413, 0.7314325571060181, -0.14145661890506744, -0.038979191333055496, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.43918219208717346, -0.46613290905952454, 0.37260961532592773, -0.16092149913311005, -0.32... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.333311, 0.262443, 0.089214, 0.76684, 0.476919], [1.076545, 0.0495... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6806783974170685, "train_acc": 0.53, "val_loss": 0.7247374653816223, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6451389193534851, "train_acc": 0.58, "val_loss": 0.6042205691337585, "val... |
87 | {"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.96, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8662, "learning_rate": 0.0324842979... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.138801,
-0.422722,
0.222705,
-0.709948,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.138801,
-0.422722,
0.222705,
-0.709948,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.16870059072971344, 0.547419011592865, 0.18979844450950623, 0.24969257414340973, 0.2103508859872818, 0.07442726939916611, 0.7236821055412292, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.2403058111667633, 0.21662494540214539, 0.4143979549407959, 0.5320088863372803, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.138801, -0.422722, 0.222705, -0.709948, 0.426497], [-0.326646, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909523606300354, "train_acc": 0.545, "val_loss": 0.6915255188941956, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682991236448288, "train_acc": 0.565, "val_loss": 0.688829779624939, "val... |
88 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9304, "learning_rate": 0.048431033495833636, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.563602,
0.484233,
0.662739,
-0.129853,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.563602,
0.484233,
0.662739,
-0.129853,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.4479443430900574, 0.5933964252471924, -0.281226247549057, 0.3535209894180298, -0.16522595286369324, 0.03184891119599342, -0.4635162055492401, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.37256288528442383, -0.2928209900856018, 0.20894716680049896, 0.51652187108993... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.563602, 0.484233, 0.662739, -0.129853, -0.461307], [0.21995, 0.760... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6953684985637665, "train_acc": 0.48, "val_loss": 0.681731104850769, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779470145702362, "train_acc": 0.56, "val_loss": 0.6372594237327576, "val_... |
89 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8779, "learning_rate": 0.021959115941308636, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.075406,
-0.113317,
0.095366,
0.389638,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.075406,
-0.113317,
0.095366,
0.389638,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.023729918524622917, -0.3755795955657959, -0.10781151801347733, 0.9187323451042175, -0.05181169509887695, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.5895224213600159, 0.3459915518760681, 0.017826294526457787, 0.19836121797561646, 0.7022024393081665, 0.0,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.075406, -0.113317, 0.095366, 0.389638, -0.320875], [-0.29482, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7380025386810303, "train_acc": 0.44, "val_loss": 0.7132469415664673, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7152999341487885, "train_acc": 0.44, "val_loss": 0.7046326994895935, "val... |
90 | {"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7077, "learning_rate": 0.07653074327012989, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.013665,
0.34692,
0.048552,
-0.242138,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.013665,
0.34692,
0.048552,
-0.242138,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.32469412684440613, 0.20510661602020264, -0.38314926624298096, 0.15320780873298645, 0.4951305687427521, 0.6611162424087524, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.2774195969104767, 0.13297560811042786, 0.026667151600122452, -0.5469493269920349, 0.71781295... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.013665, 0.34692, 0.048552, -0.242138, 0.735536], [0.104705, 0.2880... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7012460827827454, "train_acc": 0.435, "val_loss": 0.696523904800415, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.686339259147644, "train_acc": 0.575, "val_loss": 0.6910252571105957, "val_... |
91 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.88, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9089, "learning_rate": 0.096654711964... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.915261,
-0.539625,
-0.251991,
-0.429558... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.915261,
-0.539625,
-0.251991,
-0.429558... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.038935646414756775, 0.6967263221740723, 0.1338406801223755, -0.4530222415924072, -0.5376030206680298, -0.029949691146612167, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5966646671295166, 0.050208643078804016, 0.22013379633426666, -0.4564749002456665, 0.436790... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.915261, -0.539625, -0.251991, -0.429558, 0.460312], [0.489025, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6983818411827087, "train_acc": 0.57, "val_loss": 0.6806452870368958, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682375580072403, "train_acc": 0.57, "val_loss": 0.6721836924552917, "val_... |
92 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7814, "learning_rate": 0.04295... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.633276,
-0.480251,
-0.304534,
0.548978,... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.633276,
-0.480251,
-0.304534,
0.548978,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5523656606674194, -0.5510097146034241, 0.6114886403083801, 0.08952093124389648, -0.09668590873479843, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [-0.42384082078933716, -0.04235987365245819, 0.4831886887550354, -0.1323631852865219, 0.7533745765686035, 0.0, 0... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.633276, -0.480251, -0.304534, 0.548978, 0.277505], [0.520027, 0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.703216016292572, "train_acc": 0.415, "val_loss": 0.6954872012138367, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6899576187133789, "train_acc": 0.585, "val_loss": 0.7035214304924011, "va... |
93 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2443, "learning_rate": 0.09850... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.228308,
-0.034923,
-0.253794,
-0.528474... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.228308,
-0.034923,
-0.253794,
-0.528474... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.49155184626579285, -0.1534816324710846, -0.04457412287592888, -0.013760433532297611, -0.09519413113594055, 0.788010835647583, -0.3203451335430145, 0.0, 0.0, 0.0]}, "1": {"pca": [0.5533092021942139, -0.1538928598165512, -0.21770110726356506, -0.3887915313... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.228308, -0.034923, -0.253794, -0.528474, -0.479818], [-0.299528, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6816930174827576, "train_acc": 0.58, "val_loss": 0.7071685791015625, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6855595707893372, "train_acc": 0.58, "val_loss": 0.6951090097427368, "val... |
94 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6497, "learning_rate": 0.07599... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.827559,
0.210186,
-0.351544,
0.257104,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.827559,
0.210186,
-0.351544,
0.257104,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [-0.5024579763412476, 0.25710973143577576, 0.05960605666041374, -0.13443723320960999, -0.4587045907974243, 0.6284033060073853, -0.2334602028131485, 0.0, 0.0, 0.0]}, "1": {"pca": [0.44779646396636963, 0.3397316336631775, 0.7807787656784058, 0.070287846028804... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.827559, 0.210186, -0.351544, 0.257104, -0.839046], [0.270957, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6873341500759125, "train_acc": 0.58, "val_loss": 0.6952793002128601, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6788337528705597, "train_acc": 0.58, "val_loss": 0.6757959127426147, "val... |
95 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5308, "learning_rate": 0.050873627663... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.775456,
0.115959,
-0.184636,
0.177486,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.775456,
0.115959,
-0.184636,
0.177486,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.25409355759620667, -0.2158104032278061, -0.2939900755882263, 0.8204717040061951, 0.33425724506378174, 0.13240264356136322, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.6732093691825867, 0.3593890964984894, -0.015701899304986, 0.14067789912223816, -0.47422692179... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.775456, 0.115959, -0.184636, 0.177486, -0.034556], [-1.256389, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7141463756561279, "train_acc": 0.405, "val_loss": 0.6982833743095398, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6685840487480164, "train_acc": 0.595, "val_loss": 0.7524754405021667, "v... |
96 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6654, "learning_rate": 0.048347... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.803647,
-0.134218,
-0.215234,
-0.317751,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.803647,
-0.134218,
-0.215234,
-0.317751,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.19520875811576843, 0.864416241645813, 0.36270231008529663, -0.21030734479427338, -0.09410782903432846, 0.12595123052597046, -0.0900646224617958, -0.07787353545427322, 0.0, 0.0]}, "1": {"pca": [0.48254701495170593, -0.11199109256267548, 0.3389630615711212... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.803647, -0.134218, -0.215234, -0.317751, 0.289587], [0.400578, 0.8... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853034794330597, "train_acc": 0.565, "val_loss": 0.7072369456291199, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6791589558124542, "train_acc": 0.565, "val_loss": 0.7013044953346252, "va... |
97 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1738, "learning_rate": 0.049606... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.034212,
0.611878,
-0.111643,
0.131074,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.034212,
0.611878,
-0.111643,
0.131074,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.27768024802207947, -0.16178499162197113, 0.5671671032905579, -0.10071089118719101, 0.7515970468521118, 0.0, 0.0, 0.0, 0.0, 0.0]}, "1": {"pca": [0.844232439994812, -0.28557246923446655, -0.3066803514957428, 0.31910547614097595, -0.09919093549251556, 0.0, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.034212, 0.611878, -0.111643, 0.131074, -0.129732], [1.111806, 0.57... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6856651604175568, "train_acc": 0.565, "val_loss": 0.6859304308891296, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818473637104034, "train_acc": 0.565, "val_loss": 0.6833226680755615, "v... |
98 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8425, "learning_rate": 0.05723... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583898,
0.852023,
-0.147248,
0.183616,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583898,
0.852023,
-0.147248,
0.183616,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"pca": [0.5005165338516235, -0.5653472542762756, 0.2905183434486389, 0.08809705078601837, 0.17945954203605652, 0.4890694320201874, -0.12075229734182358, -0.22743771970272064, 0.0, 0.0]}, "1": {"pca": [-0.22421474754810333, -0.10843457281589508, 0.7310999631881714,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.583898, 0.852023, -0.147248, 0.183616, -0.554737], [-0.143306, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7114783525466919, "train_acc": 0.555, "val_loss": 0.683875560760498, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6879793405532837, "train_acc": 0.555, "val_loss": 0.6729730367660522, "va... |
99 | {"target_pattern": "has_majority", "degraded_accuracy": 0.56, "improved_accuracy": 0.86, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1535, "learning_rate": 0.039882914... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.596784,
0.093444,
0.405679,
0.688228,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.596784,
0.093444,
0.405679,
0.688228,
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