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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28063
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0-mlp-sm
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references to experimental design or methodology
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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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
71
+0.14
0.8%
341
+0.12
0.7%
25
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
341
+0.14
0.01
134
+0.12
0.01
297
+0.12
0.01
Negative Logits
ĥ½
-4.02
Ĺ
-3.99
µ
-3.61
Ģ
-3.48
Ī
-3.44
Į
-3.40
Ķ
-3.30
Ĵ
-3.29
ij
-3.29
ĵ
-3.27
POSITIVE LOGITS
nement
1.75
grounds
1.73
iliary
1.69
iors
1.68
epi
1.65
etto
1.63
naire
1.63
erals
1.62
nell
1.62
shire
1.60
Act
ivations
Density 0.009%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations