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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26392
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MODEL
2-mlp-sm
Source/SAE
INDEX
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Explanations
references to the significance or necessity of various concepts and actions
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
193
+0.13
0.7%
288
+0.12
0.7%
468
+0.11
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
335
+0.13
0.04
193
+0.12
0.02
239
+0.11
0.03
Negative Logits
Ļª
-4.66
ĻĤ
-4.33
ĸ
-4.24
Īĺ
-4.20
ģ
-4.17
↵
-4.15
↵
-4.15
-4.15
-4.15
↵
-4.15
POSITIVE LOGITS
"}](#
1.81
held
1.69
included
1.65
enough
1.54
office
1.54
ifen
1.49
cgi
1.48
aired
1.47
/$
1.47
Springer
1.47
Act
ivations
Density 0.250%
Stacked
Snippet
Full
Show Raw Tokens
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Show Breaks
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No Known Activations