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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
13755
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MODEL
4-res-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__res-sm_processed/4-res-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.4.hook_resid_post
Hook Layer
4
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
127
+0.14
0.8%
21
+0.12
0.7%
234
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
255
+0.14
-0.01
234
+0.12
0.01
277
+0.10
0.01
Negative Logits
ses
-2.11
ards
-1.94
sen
-1.83
tar
-1.79
sed
-1.74
inals
-1.70
ries
-1.69
sel
-1.69
ton
-1.66
tin
-1.65
POSITIVE LOGITS
Ń
3.22
ģ
3.13
ĩ
2.92
¬
2.91
»
2.88
¿
2.85
Ĩ
2.83
¿½
2.74
ı
2.71
ŀ
2.70
Act
ivations
Density 0.193%
Stacked
Snippet
Full
Show Breaks
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No Known Activations