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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29757
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MODEL
0-mlp-sm
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Explanations
references to a specific class or component named "Foo"
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
156
+0.18
1.0%
369
+0.16
0.9%
376
+0.15
0.9%
Correlated Neurons
Index
P. Corr.
Cos Sim.
466
+0.18
0.01
34
+0.16
0.01
413
+0.15
0.01
Negative Logits
ľ
-2.55
ĵ
-2.54
ľĵ
-2.27
ı
-2.21
Ļ
-2.20
Ĩ
-2.18
ij
-2.08
Ń
-2.02
¿
-1.98
ĩ
-1.97
POSITIVE LOGITS
mania
1.73
ford
1.72
aho
1.69
hold
1.64
zol
1.64
career
1.62
era
1.61
fight
1.58
reng
1.58
lei
1.54
Act
ivations
Density 0.015%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations