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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26825
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MODEL
0-mlp-sm
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references to branding and brand development
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
406
+0.12
0.7%
157
+0.11
0.6%
449
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
51
+0.12
0.01
33
+0.11
0.02
113
+0.11
0.01
Negative Logits
fare
-1.99
jour
-1.63
creas
-1.60
osome
-1.54
ield
-1.50
orage
-1.47
iels
-1.47
itable
-1.46
Clerk
-1.46
bserver
-1.45
POSITIVE LOGITS
ĸ
3.04
»
2.94
Ķ
2.90
¼
2.86
ĭ
2.83
·¸
2.83
į
2.83
¡
2.80
¿½
2.79
½
2.78
Act
ivations
Density 0.020%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations