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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
9424
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MODEL
4-res-sm
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oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
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
21
+0.19
1.2%
168
+0.11
0.7%
240
+0.11
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
507
+0.19
0.01
168
+0.11
0.01
501
+0.11
0.01
Negative Logits
concentrate
-1.38
entre
-1.36
hers
-1.36
irus
-1.30
elijk
-1.29
gres
-1.20
ilate
-1.19
elij
-1.19
emn
-1.17
cheon
-1.16
POSITIVE LOGITS
³
3.06
©
2.93
ģ
2.89
¾
2.87
¹
2.87
»
2.87
¿
2.85
ŀ
2.84
Ī
2.83
²
2.82
Act
ivations
Density 0.030%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations