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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
28798
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MODEL
1-res-sm
Source/SAE
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Explanations
information related to data structure sizes and bits
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/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
406
+0.14
0.8%
249
+0.14
0.8%
375
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
375
+0.14
0.02
249
+0.14
0.02
406
+0.13
0.02
Negative Logits
Ĩ
-4.13
·
-3.71
¸
-3.67
·¸
-3.57
Ł
-3.52
©
-3.41
¼
-3.36
´
-3.32
Ĭ
-3.32
³
-3.31
POSITIVE LOGITS
coins
2.20
worm
2.04
uminous
1.97
terness
1.87
bucket
1.79
cine
1.73
wise
1.73
meal
1.71
maps
1.69
pora
1.67
Act
ivations
Density 0.075%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations