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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
9299
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MODEL
4-res-sm
Source/SAE
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Explanations
structured data representations and configuration details
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__res-sm_processed/4-res-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.4.hook_resid_post
Hook Layer
4
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
82
+0.15
0.8%
397
+0.12
0.7%
29
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
82
+0.15
0.07
325
+0.12
0.10
397
+0.11
0.07
Negative Logits
”).
-2.15
”)
-1.97
”),
-1.79
.”).
-1.77
oretic
-1.64
”
-1.56
‘
-1.56
"));
-1.54
.”
-1.53
?”
-1.52
POSITIVE LOGITS
}
3.89
ĭ
3.82
ı
3.73
§
3.71
¿
3.62
}
3.54
¸
3.53
ł
3.51
Ĵ
3.49
Ħ
3.46
Act
ivations
Density 0.946%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations