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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23962
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MODEL
2-mlp-sm
Source/SAE
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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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
137
+0.14
0.8%
59
+0.13
0.7%
177
+0.12
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
59
+0.14
0.01
50
+0.13
0.03
269
+0.12
0.03
Negative Logits
à±ģ
-1.98
those
-1.70
donors
-1.60
à±į
-1.54
;"
-1.52
background
-1.48
pdev
-1.46
\;
-1.42
'@
-1.41
these
-1.40
POSITIVE LOGITS
ª
3.20
ľ
3.06
¸
3.03
§
3.01
¤
2.94
Ŀ
2.94
Ĵ
2.88
¿½
2.87
¬
2.84
Ĺ
2.82
Act
ivations
Density 1.014%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations