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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26152
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MODEL
2-mlp-sm
Source/SAE
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Explanations
adjectives describing size, quality, and complexity in a text
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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Link
https://www.neuronpedia.org/pythia-70m-deduped/2-mlp-sm/26152?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
15
+0.14
0.7%
502
+0.11
0.6%
423
+0.10
0.5%
Correlated Neurons
Index
P. Corr.
Cos Sim.
225
+0.14
0.07
15
+0.11
0.07
502
+0.10
0.07
Negative Logits
¨
-2.16
ª
-2.00
ij
-1.93
Ł
-1.91
¥
-1.82
ses
-1.79
IGHT
-1.75
¤
-1.72
µ
-1.72
¸
-1.71
POSITIVE LOGITS
yard
1.68
ferroni
1.60
phab
1.56
vier
1.54
golang
1.49
bird
1.45
fox
1.45
Page
1.45
appa
1.44
acia
1.44
Act
ivations
Density 0.696%
Stacked
Snippet
Full
Show Raw Tokens
Show Formatted
Show Breaks
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No Known Activations
