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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29656
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MODEL
0-mlp-sm
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phrases indicating direction or intention
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__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
357
+0.12
0.7%
303
+0.11
0.6%
424
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
69
+0.12
0.38
151
+0.11
0.31
434
+0.11
0.30
Negative Logits
ault
-1.57
igens
-1.57
âĢij
-1.50
QUE
-1.49
ders
-1.47
inois
-1.46
iels
-1.43
innocence
-1.42
th
-1.41
ricular
-1.40
POSITIVE LOGITS
¿½
2.47
ľĵ
2.35
Ļ
2.29
Ī
2.27
Īĺ
2.25
ĥ½
2.16
Į
2.10
Ł
2.05
»
2.03
¢
1.99
Act
ivations
Density 1.638%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations