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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
27476
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MODEL
2-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/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
292
+0.14
0.8%
478
+0.11
0.6%
491
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
168
+0.14
0.02
87
+0.11
0.02
174
+0.11
0.02
Negative Logits
)</
-1.89
)].
-1.76
oning
-1.72
)](
-1.68
)">
-1.61
ym
-1.55
)",
-1.55
()).
-1.52
)."
-1.50
)',
-1.47
POSITIVE LOGITS
¦
3.77
·
3.54
¸
3.50
¤
3.40
ĵ
3.38
Īĺ
3.34
ĥ½
3.30
ķ
3.26
Ĥ
3.20
¹
3.19
Act
ivations
Density 0.054%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations