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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
25886
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MODEL
0-mlp-sm
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reports or mentions of current events
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/25886?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
505
+0.15
0.8%
490
+0.11
0.6%
365
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
505
+0.15
0.04
229
+0.11
0.03
490
+0.11
0.03
Negative Logits
ĭ
-2.90
§
-2.69
¤
-2.45
Ī
-2.41
Į
-2.40
ĥ½
-2.40
IJ
-2.40
¿
-2.29
º
-2.26
ī
-2.25
POSITIVE LOGITS
stand
1.74
wick
1.74
match
1.69
icles
1.64
úblic
1.63
gered
1.61
letter
1.61
lang
1.59
ios
1.56
hth
1.55
Act
ivations
Density 0.117%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations