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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30493
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MODEL
0-mlp-sm
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Explanations
numerical values indicating significant events or actions
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
354
+0.11
0.6%
105
+0.10
0.6%
473
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
438
+0.11
0.40
53
+0.10
0.42
56
+0.10
0.11
Negative Logits
↵³³
-1.66
ermost
-1.65
áĢº
-1.61
entric
-1.54
veolar
-1.53
mog
-1.51
á̝
-1.47
oka
-1.47
inction
-1.46
Hipp
-1.45
POSITIVE LOGITS
¸
2.75
«
2.48
³
2.28
¬
2.27
ĸ´
2.22
¹
2.18
Ń
2.12
Ķ
2.11
»¿
2.08
µ
2.01
Act
ivations
Density 4.656%
Stacked
Snippet
Full
Show Breaks
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No Known Activations