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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28106
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MODEL
0-mlp-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__mlp-sm_processed/0-mlp-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.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
367
+0.14
0.8%
312
+0.14
0.7%
116
+0.14
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
337
+0.14
0.24
17
+0.14
0.16
233
+0.14
0.17
Negative Logits
Ŀ
-4.19
Ĥ
-4.15
ģ
-3.97
Ń
-3.85
Ģ
-3.73
ļ
-3.62
ľ
-3.58
↵
-3.57
↵
-3.57
↵
-3.57
POSITIVE LOGITS
times
1.77
?",
1.67
";
1.67
"?
1.47
".
1.45
slides
1.40
difficulty
1.37
thumb
1.36
unnumbered
1.36
vomiting
1.35
Act
ivations
Density 0.696%
Stacked
Snippet
Full
Show Breaks
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No Known Activations