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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26810
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MODEL
0-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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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
115
+0.18
1.0%
478
+0.17
1.0%
23
+0.16
0.9%
Correlated Neurons
Index
P. Corr.
Cos Sim.
346
+0.18
0.01
5
+0.17
0.01
278
+0.16
0.02
Negative Logits
ys
-1.74
cript
-1.73
ics
-1.67
azine
-1.57
ostat
-1.53
os
-1.51
eller
-1.48
hardt
-1.48
eral
-1.48
urn
-1.45
POSITIVE LOGITS
¼
3.31
º
3.25
Ĭ
3.00
Ŀ
2.96
Ĵ
2.96
Ģ
2.82
ı
2.78
ľ
2.72
¸
2.72
Ĥ
2.71
Act
ivations
Density 0.009%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations