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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
1-RES-SM
25430
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MODEL
1-res-sm
Source/SAE
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Explanations
structural elements related to programming and object-oriented concepts
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
285
+0.14
0.8%
369
+0.12
0.7%
300
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
277
+0.14
0.04
285
+0.12
0.04
129
+0.11
0.01
Negative Logits
ģ
-2.04
atern
-1.80
ĻĤ
-1.80
«
-1.68
²
-1.67
ĵ
-1.67
ĥ½
-1.65
ĩ
-1.59
ptin
-1.57
ontal
-1.54
POSITIVE LOGITS
ed
2.40
ede
2.23
ing
2.15
edly
1.69
yard
1.66
edi
1.66
esan
1.60
s
1.57
merce
1.51
talk
1.49
Act
ivations
Density 0.257%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations