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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
26389
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2-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/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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IFrame
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Link
https://www.neuronpedia.org/pythia-70m-deduped/2-mlp-sm/26389?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
23
+0.17
0.9%
282
+0.12
0.7%
292
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
282
+0.17
0.09
327
+0.12
0.11
335
+0.11
0.11
Negative Logits
¥
-3.52
¨
-3.46
ļ
-3.33
IJ
-3.31
«
-3.26
®
-3.22
µ
-3.21
·
-3.18
¢
-3.17
¤
-3.13
POSITIVE LOGITS
]>
1.77
askell
1.55
}\|
1.49
----
1.45
Hash
1.44
}
1.42
thy
1.41
]=
1.41
yours
1.41
})+
1.40
Act
ivations
Density 2.252%
Stacked
Snippet
Full
Show Raw Tokens
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Show Breaks
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No Known Activations