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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24336
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MODEL
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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https://www.neuronpedia.org/pythia-70m-deduped/2-mlp-sm/24336?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
469
+0.21
1.1%
434
+0.12
0.7%
497
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
469
+0.21
0.08
329
+0.12
0.04
303
+0.11
0.07
Negative Logits
Īĺ
-2.81
±
-2.64
Į
-2.62
¾
-2.61
¯
-2.58
¼
-2.55
ĻĤ
-2.55
Ĥ
-2.51
ĭ
-2.49
Ĥ¬
-2.39
POSITIVE LOGITS
tons
1.84
ções
1.59
ción
1.55
hline
1.54
places
1.54
"""
1.50
clip
1.49
ção
1.49
Hz
1.44
pire
1.43
Act
ivations
Density 1.339%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations