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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29371
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MODEL
0-mlp-sm
Source/SAE
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Explanations
mentions of judges and magistrates
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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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
505
+0.14
0.8%
132
+0.12
0.7%
454
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
505
+0.14
0.03
132
+0.12
0.02
153
+0.10
0.02
Negative Logits
ĥ½
-3.15
´
-2.87
·¸
-2.74
ŀ
-2.69
ij
-2.69
Ķ
-2.68
Ħ
-2.66
¯
-2.63
¬
-2.62
Ī
-2.57
POSITIVE LOGITS
pieces
2.02
cript
1.92
doms
1.85
wick
1.82
piece
1.79
ÃŃf
1.76
himself
1.71
amente
1.69
lists
1.64
heet
1.64
Act
ivations
Density 0.013%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations