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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24061
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MODEL
2-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__mlp-sm_processed/2-mlp-sm
How To Load
Prompts (Dashboard)
32,768 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
32,768
Data Type
torch.float32
Hook Name
blocks.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
486
+0.15
0.8%
156
+0.13
0.7%
479
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
392
+0.15
0.09
81
+0.13
0.06
486
+0.11
-0.02
Negative Logits
¬
-2.82
»
-2.55
Ļ
-2.53
IJ
-2.45
¤
-2.44
·
-2.41
ī
-2.41
ij
-2.34
¿
-2.34
Ģ
-2.27
POSITIVE LOGITS
efs
1.77
_"
1.71
arding
1.69
>",
1.60
_."
1.60
.")
1.59
ect
1.56
(_
1.52
abilities
1.51
.",
1.49
Act
ivations
Density 3.812%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations