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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24083
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to software licenses
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/2-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.2.hook_mlp_out
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-mlp-sm/24083?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
345
+0.15
0.8%
156
+0.13
0.7%
386
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
386
+0.15
0.04
495
+0.13
0.04
424
+0.13
0.03
Negative Logits
()));
-1.95
"));
-1.93
”).
-1.89
'));
-1.87
'))
-1.79
”),
-1.71
effect
-1.70
));
-1.60
)).
-1.60
").
-1.59
POSITIVE LOGITS
ģ
2.44
ĵ
2.18
±
2.16
ª
2.03
mie
2.03
§
2.03
Ļ
2.00
ĭ
1.96
Ľ
1.95
ĥ
1.87
Act
ivations
Density 0.072%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations