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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30140
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0-mlp-sm
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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
+0.14
0.9%
474
+0.14
0.9%
376
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
474
+0.14
0.01
77
+0.14
0.01
320
+0.13
0.00
Negative Logits
ĥ½
-2.79
Ĥ¬
-2.29
Ļª
-2.18
»
-1.98
IJ
-1.96
ľ
-1.92
¼
-1.89
Ŀ
-1.87
¾
-1.87
hood
-1.81
POSITIVE LOGITS
eto
1.89
(@
1.75
blr
1.74
anese
1.60
etto
1.54
cine
1.53
\@
1.50
iper
1.50
istani
1.50
PW
1.47
Act
ivations
Density 0.009%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations