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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
25610
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MODEL
1-res-sm
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Explanations
terms related to types of cancer and their characteristics
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/1-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.1.hook_resid_post
Hook Layer
1
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
156
+0.23
1.4%
17
+0.20
1.2%
111
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
156
+0.23
0.15
347
+0.20
0.09
71
+0.13
0.14
Negative Logits
sino
-1.66
)."
-1.53
parte
-1.40
imer
-1.35
.[@
-1.35
.^[@
-1.33
Briefly
-1.32
Univers
-1.31
([@
-1.31
Moscow
-1.30
POSITIVE LOGITS
ģ
1.99
ĺ
1.98
ĻĤ
1.97
Ĺ
1.93
Ļª
1.76
°
1.75
´
1.71
¡
1.70
Į
1.69
Ĩ
1.68
Act
ivations
Density 2.814%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations