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| { | |
| "release": "parameter-trajectory-crosscoders", | |
| "paper": "Learning to Read Out: Unembedding Dynamics in Language Model Pretraining", | |
| "code": "https://github.com/hematteo/learning-to-read-out", | |
| "loading_recipe": "from safetensors.torch import safe_open; f = safe_open(path, framework='pt'); W_D = f.get_tensor('W_D'); thr = f.get_tensor('activation_function.log_jumprelu_threshold').exp() # or use src.crosscoder.checkpoints.load_checkpoint from the code repo", | |
| "checkpoints": [ | |
| { | |
| "path": "olmo-2-7b/W_U/cross-snapshot-32/d32768/seed0.safetensors", | |
| "model_name": "allenai/OLMo-2-1124-7B", | |
| "model": "olmo-2-7b", | |
| "matrix": "W_U", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 32768, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "OLMo-2-7B W_U crosscoder, 32 snapshots, d_sae=32768, seed 0", | |
| "quality": { | |
| "explained_variance": 0.8526035831389717, | |
| "mean_l0": 557.2795322963169, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 1e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d24576/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 24576, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=24576, seed 0", | |
| "quality": { | |
| "explained_variance": 0.8305442370487662, | |
| "mean_l0": 117.50901977539063, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d8192/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 8192, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=8192, seed 0", | |
| "quality": { | |
| "explained_variance": 0.5807971126242004, | |
| "mean_l0": 82.08435302734375 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d8192/seed1.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 8192, | |
| "seed": 1, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=8192, seed 1", | |
| "quality": { | |
| "explained_variance": 0.580104140268709, | |
| "mean_l0": 82.01199279785156, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d8192/seed2.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 8192, | |
| "seed": 2, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=8192, seed 2", | |
| "quality": { | |
| "explained_variance": 0.5815380601296635, | |
| "mean_l0": 82.31076721191407, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d8192/seed3.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 8192, | |
| "seed": 3, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=8192, seed 3", | |
| "quality": { | |
| "explained_variance": 0.5805984141666259, | |
| "mean_l0": 82.13521545410157, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_E/cross-snapshot-32/d8192/seed4.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_E", | |
| "kind": "cross-snapshot-32", | |
| "d_sae": 8192, | |
| "seed": 4, | |
| "n_snapshots": 32, | |
| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_E crosscoder, 32 snapshots, d_sae=8192, seed 4", | |
| "quality": { | |
| "explained_variance": 0.5825219599393371, | |
| "mean_l0": 82.5084307861328, | |
| "dead_rate": 0.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
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| "batch_size": 1024, | |
| "n_epochs": 300, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_U/architecture-comparison/d8192/batchtopk/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_U", | |
| "kind": "architecture-comparison/d8192", | |
| "d_sae": 8192, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "batchtopk", | |
| "public_label": "Pythia-160M W_U crosscoder (batchtopk activation), 32 snapshots, d_sae=8192, seed 0", | |
| "quality": { | |
| "explained_variance": 0.7249162974116965, | |
| "mean_l0": 203.0 | |
| }, | |
| "training": { | |
| "lr": 5e-05, | |
| "l1_coefficient": 0.3, | |
| "batch_size": 1024, | |
| "n_epochs": 100, | |
| "input_preprocess": "center_scale" | |
| } | |
| }, | |
| { | |
| "path": "pythia-160m/W_U/architecture-comparison/d8192/gated/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_U", | |
| "kind": "architecture-comparison/d8192", | |
| "d_sae": 8192, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "gated", | |
| "public_label": "Pythia-160M W_U crosscoder (gated activation), 32 snapshots, d_sae=8192, seed 0", | |
| "quality": { | |
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| "mean_l0": 11.51853515625 | |
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| "training": { | |
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| "n_epochs": 100, | |
| "input_preprocess": "center_scale" | |
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| }, | |
| { | |
| "path": "pythia-160m/W_U/architecture-comparison/d8192/gated-retuned/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_U", | |
| "kind": "architecture-comparison/d8192", | |
| "d_sae": 8192, | |
| "seed": 0, | |
| "n_snapshots": 32, | |
| "arch": "gated", | |
| "public_label": "Pythia-160M W_U crosscoder (Gated activation, L1=0.05), 32 snapshots, d_sae=8192, seed 0", | |
| "quality": { | |
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| { | |
| "path": "pythia-160m/W_U/cross-snapshot-16/d8192/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
| "model": "pythia-160m", | |
| "matrix": "W_U", | |
| "kind": "cross-snapshot-16", | |
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| "seed": 0, | |
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| "arch": "jumprelu-crosscoder", | |
| "public_label": "Pythia-160M W_U crosscoder, 16-snapshot downsample, d_sae=8192, seed 0", | |
| "quality": { | |
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| { | |
| "path": "pythia-160m/W_U/cross-snapshot-32/d16384/seed0.safetensors", | |
| "model_name": "EleutherAI/pythia-160m", | |
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| "wu-d8192-multiseed/decoder_norms_all_seeds.npy", | |
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| "wu-d8192-persnap/train.log" | |
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| "pythia-160m/sva-results.pt", | |
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| } | |
| } | |