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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26571
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MODEL
2-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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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/26571?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
+0.16
0.9%
360
+0.13
0.7%
352
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
352
+0.16
0.03
360
+0.13
0.02
210
+0.13
0.01
Negative Logits
\]\].
-1.63
findViewById
-1.54
("
-1.44
cript
-1.41
/.
-1.39
findViewById
-1.37
('',
-1.36
:/
-1.36
ÃŃo
-1.35
pued
-1.33
POSITIVE LOGITS
ģ
2.23
Ī
1.75
ĻĤ
1.73
[$\
1.67
¤
1.66
[$
1.65
Ĩ
1.61
¥
1.59
ľ
1.59
ĥ
1.56
Act
ivations
Density 0.221%
Stacked
Snippet
Full
Show Raw Tokens
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Show Breaks
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No Known Activations