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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29751
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0-mlp-sm
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references to documentation or guidelines
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
167
+0.14
0.8%
53
+0.11
0.6%
353
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
354
+0.14
0.07
51
+0.11
0.05
188
+0.11
0.06
Negative Logits
Ŀ
-3.06
·¸
-2.80
IJ
-2.76
²
-2.71
±
-2.62
Īĺ
-2.58
»¿
-2.57
½
-2.50
¶
-2.46
ħ
-2.46
POSITIVE LOGITS
TP
1.46
drain
1.45
Empty
1.41
thy
1.40
tet
1.39
Wrap
1.37
tu
1.37
dered
1.35
-$
1.34
zer
1.28
Act
ivations
Density 0.038%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations