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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
11987
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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
91
+0.16
0.9%
196
+0.15
0.9%
100
+0.15
0.9%
Correlated Neurons
Index
P. Corr.
Cos Sim.
100
+0.16
0.04
307
+0.15
0.02
196
+0.15
0.02
Negative Logits
ķ
-3.46
ĸ
-3.21
ľĵ
-3.17
©
-3.10
¿½
-3.09
¼
-3.08
Ħ
-3.02
ĨĴ
-2.97
ŀ
-2.97
«
-2.93
POSITIVE LOGITS
ingly
1.90
bit
1.87
Bit
1.69
Bits
1.64
teenth
1.63
cke
1.57
bars
1.52
ietal
1.48
00
1.48
rpm
1.46
Act
ivations
Density 0.226%
Stacked
Snippet
Full
Show Raw Tokens
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