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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
Residuals
2-RES-SM
29121
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MODEL
2-res-sm
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Explanations
structured data elements and parameters in technical contexts
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/29121?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
121
+0.18
1.0%
302
+0.16
0.9%
436
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
121
+0.18
0.07
237
+0.16
0.12
190
+0.13
0.15
Negative Logits
Ń
-2.18
¶
-1.95
µ
-1.92
³
-1.88
ĨĴ
-1.82
ļ
-1.81
Ł
-1.80
¨
-1.72
Ģ
-1.72
©
-1.68
POSITIVE LOGITS
+)
1.99
respectively
1.70
.|
1.64
+.
1.53
$.[]{
1.49
purposes
1.46
>";
1.44
ubot
1.42
unto
1.41
urious
1.39
Act
ivations
Density 4.967%
Stacked
Snippet
Full
Show Raw Tokens
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