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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26908
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0-mlp-sm
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Explanations
numerical thresholds in various contexts
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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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
108
+0.14
0.8%
246
+0.12
0.7%
307
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
107
+0.14
0.01
334
+0.12
0.01
381
+0.12
0.01
Negative Logits
Ī
-1.89
¤
-1.82
pite
-1.72
ĵ
-1.67
ľ
-1.62
·¸
-1.60
¬
-1.57
ANS
-1.56
LLOW
-1.54
hs
-1.53
POSITIVE LOGITS
ÃŃvel
2.00
erior
1.70
rá
1.69
krit
1.66
forum
1.65
dit
1.65
tier
1.63
abad
1.58
lane
1.56
liga
1.53
Act
ivations
Density 0.064%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations