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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28302
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MODEL
0-mlp-sm
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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/28302?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
+0.17
0.9%
317
+0.13
0.7%
412
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
317
+0.17
0.03
387
+0.13
0.03
480
+0.11
0.03
Negative Logits
iller
-1.69
expressed
-1.65
erred
-1.51
erne
-1.44
hormone
-1.41
chos
-1.37
fired
-1.36
iler
-1.36
ilers
-1.34
er
-1.33
POSITIVE LOGITS
¿
2.86
İ
2.56
ł
2.52
Ļ
2.52
¾
2.50
Į
2.46
Ĥ¬
2.44
į
2.40
§
2.39
²
2.38
Act
ivations
Density 0.077%
Stacked
Snippet
Full
Show Breaks
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No Known Activations