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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26340
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MODEL
0-mlp-sm
Source/SAE
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Explanations
situations described as challenging or difficult
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/26340?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
+0.21
1.2%
457
+0.15
0.9%
148
+0.14
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
82
+0.21
0.02
457
+0.15
0.02
14
+0.14
0.02
Negative Logits
omorphisms
-1.57
uge
-1.51
said
-1.49
ofl
-1.47
>'
-1.43
urer
-1.40
uw
-1.38
oddsidemargin
-1.37
dass
-1.34
erl
-1.33
POSITIVE LOGITS
ľĵ
2.83
¬
2.61
ł
2.54
Ĥ¬
2.53
Ł
2.45
¢
2.40
Ļª
2.29
ĩ
2.27
¤
2.25
´
2.22
Act
ivations
Density 0.018%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations