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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26567
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MODEL
0-mlp-sm
Source/SAE
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Explanations
repeatedly used words that indicate relevance or importance
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
362
+0.14
0.8%
110
+0.12
0.7%
376
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
265
+0.14
0.01
344
+0.12
0.01
110
+0.11
0.01
Negative Logits
enson
-1.72
smen
-1.51
ene
-1.50
Appeal
-1.44
Appeals
-1.40
Island
-1.33
ESH
-1.31
tam
-1.30
Die
-1.28
skate
-1.27
POSITIVE LOGITS
ĻĤ
2.88
ľĵ
1.86
³
1.81
£
1.78
º
1.70
¢
1.67
¡
1.66
¬
1.66
ł
1.59
lies
1.55
Act
ivations
Density 4.695%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations