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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
4-RES-SM
10441
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MODEL
4-res-sm
Source/SAE
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Explanations
elements related to health and safety regulations
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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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
156
+0.18
1.1%
81
+0.10
0.6%
269
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
396
+0.18
0.04
410
+0.10
0.05
73
+0.10
0.06
Negative Logits
ĵ
-3.50
ĨĴ
-3.14
IJ
-2.90
<|outofrange|>
-2.86
<|outofrange|>
-2.86
↵
-2.86
č↵
-2.86
↵
-2.86
-2.86
↵
-2.86
POSITIVE LOGITS
udeau
2.24
uncher
2.04
ÅĦ
2.03
oka
1.99
Pradesh
1.98
uchy
1.98
Äĩ
1.96
Äij
1.91
uld
1.91
ção
1.89
Act
ivations
Density 0.514%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations