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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
29511
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MODEL
2-res-sm
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Explanations
references to threading and task management in programming
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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https://www.neuronpedia.org/pythia-70m-deduped/2-res-sm/29511?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
156
+0.21
1.2%
493
+0.14
0.8%
230
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
493
+0.21
0.02
80
+0.14
0.02
17
+0.13
0.00
Negative Logits
ł
-4.02
↵ ↵
-3.71
↵
-3.71
↵ ↵
-3.71
-3.71
-3.71
-3.71
↵
-3.71
-3.71
<|outofrange|>
-3.71
POSITIVE LOGITS
bare
2.25
ings
1.82
pool
1.64
nai
1.60
aloud
1.57
behind
1.51
behind
1.47
ing
1.47
uelle
1.46
ago
1.46
Act
ivations
Density 0.116%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations
