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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
28942
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MODEL
2-res-sm
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numerical data or identifiers related to various records or entries
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/2-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.2.hook_resid_post
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
290
+0.13
0.7%
152
+0.12
0.7%
492
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
167
+0.13
0.03
129
+0.12
0.01
342
+0.10
0.03
Negative Logits
arily
-1.63
tight
-1.55
stage
-1.48
race
-1.48
ended
-1.47
roads
-1.46
uding
-1.45
case
-1.45
ime
-1.44
breaking
-1.43
POSITIVE LOGITS
º
3.65
Ĵ
3.43
¬
3.39
ĸ
3.31
¿
3.31
ł
3.23
ĩ
3.22
Ĥ
3.19
³
3.18
ļ
3.17
Act
ivations
Density 0.238%
Stacked
Snippet
Full
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No Known Activations