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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28071
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0-mlp-sm
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references to judicial appeals or legal proceedings
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
505
+0.12
0.7%
343
+0.11
0.6%
454
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
505
+0.12
0.01
343
+0.11
0.01
75
+0.11
0.01
Negative Logits
)](#
-2.31
)\]
-1.78
\)
-1.71
)$$
-1.70
↵Č
-1.64
)\].
-1.62
ished
-1.57
ishes
-1.50
leisure
-1.47
metabol
-1.45
POSITIVE LOGITS
ī
2.94
»¿
2.85
ľĵ
2.66
Ľ
2.60
ŀ
2.42
ĸ´
2.41
ģ
2.40
↵
2.39
↵
2.39
↵
2.39
Act
ivations
Density 0.335%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations