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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28234
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MODEL
0-mlp-sm
Source/SAE
INDEX
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Explanations
the word "dar" in varying contexts
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
369
+0.13
0.7%
246
+0.12
0.7%
376
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
450
+0.13
0.01
246
+0.12
0.01
181
+0.12
0.01
Negative Logits
Ĥ¬
-3.00
ĺ
-2.99
ij
-2.96
ĨĴ
-2.82
ĵ
-2.75
ı
-2.71
Ĥ
-2.64
Ķ
-2.63
ĥ½
-2.63
IJ
-2.57
POSITIVE LOGITS
woods
1.84
forge
1.80
dom
1.79
rett
1.78
vä
1.74
punches
1.72
wall
1.70
liche
1.67
works
1.67
leen
1.67
Act
ivations
Density 0.014%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations