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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25560
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0-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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
470
+0.15
0.9%
341
+0.15
0.9%
387
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
341
+0.15
0.10
470
+0.15
0.07
387
+0.12
0.06
Negative Logits
uality
-1.58
VM
-1.54
awk
-1.52
SHA
-1.51
summary
-1.51
npmjs
-1.50
reek
-1.49
.<
-1.45
yna
-1.38
haw
-1.37
POSITIVE LOGITS
ļ
2.82
¾
2.74
ħ
2.73
ĸ
2.72
ª
2.69
ľĵ
2.66
ģ
2.63
¨
2.63
Īĺ
2.60
ĥ½
2.58
Act
ivations
Density 1.332%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations