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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27671
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0-mlp-sm
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Explanations
references to continental concepts or settings
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__mlp-sm_processed/0-mlp-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.0.hook_mlp_out
Hook Layer
0
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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https://www.neuronpedia.org/pythia-70m-deduped/0-mlp-sm/27671?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
362
+0.17
1.0%
156
+0.14
0.8%
444
+0.14
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
362
+0.17
0.01
429
+0.14
0.01
180
+0.14
0.01
Negative Logits
ellow
-1.55
ted
-1.50
tear
-1.47
inous
-1.46
nearly
-1.44
promise
-1.41
?>
-1.37
tons
-1.36
-)
-1.34
oped
-1.33
POSITIVE LOGITS
Īĺ
2.74
©
2.73
µ
2.63
¡
2.61
´
2.60
»¿
2.60
ł
2.50
·¸
2.42
£
2.37
»
2.37
Act
ivations
Density 0.027%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
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No Known Activations