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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30211
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MODEL
0-mlp-sm
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Explanations
the term "prevalent" in various 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__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/30211?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
+0.34
2.0%
376
+0.20
1.2%
148
+0.17
1.0%
Correlated Neurons
Index
P. Corr.
Cos Sim.
308
+0.34
0.01
156
+0.20
0.01
347
+0.17
0.01
Negative Logits
že
-1.33
ctomy
-1.31
Å¥
-1.29
expert
-1.28
aned
-1.25
ва
-1.23
certified
-1.23
docs
-1.21
ians
-1.21
walks
-1.20
POSITIVE LOGITS
Ģ
2.73
ĻĤ
2.64
ĩ
2.53
µ
2.51
°
2.50
¤
2.48
²
2.37
ł
2.25
Ļª
2.24
ĥ
2.19
Act
ivations
Density 0.015%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations