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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
28170
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MODEL
1-res-sm
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oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__res-sm_processed/1-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.1.hook_resid_post
Hook Layer
1
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
375
+0.14
0.8%
369
+0.13
0.7%
214
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
375
+0.14
0.02
180
+0.13
0.01
214
+0.11
0.01
Negative Logits
backs
-2.06
ções
-1.77
ees
-1.75
ção
-1.72
lements
-1.68
tion
-1.63
ments
-1.63
rile
-1.62
ttes
-1.61
backs
-1.60
POSITIVE LOGITS
Ĥ¬
1.95
µ
1.95
¤
1.86
ĺ
1.83
ibo
1.80
²
1.76
Ĵ
1.75
·
1.72
ī
1.72
¢
1.70
Act
ivations
Density 0.066%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations