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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
12158
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MODEL
2-res-sm
Source/SAE
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Explanations
detailed descriptions and specifications of products, particularly focusing on measurements and materials
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__res-sm_processed/2-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.2.hook_resid_post
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
419
+0.18
1.1%
326
+0.14
0.8%
72
+0.14
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.18
0.27
156
+0.14
0.27
71
+0.14
0.27
Negative Logits
»¿
-2.96
£
-2.84
-2.83
↵
-2.83
↵
-2.83
↵
-2.83
č↵
-2.83
↵
-2.83
-2.83
↵
-2.83
POSITIVE LOGITS
autism
1.53
PTSD
1.52
osus
1.52
ftware
1.51
manif
1.48
minors
1.44
elen
1.43
visiae
1.36
vet
1.35
families
1.34
Act
ivations
Density 4.470%
Stacked
Snippet
Full
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