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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28244
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MODEL
0-mlp-sm
Source/SAE
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Explanations
mentions of significant quantities or numbers in the text
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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Neuron Alignment
Index
Value
% of L₁
391
+0.12
0.7%
362
+0.12
0.6%
122
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
416
+0.12
0.01
122
+0.12
0.01
391
+0.11
0.01
Negative Logits
tering
-1.77
ICAN
-1.75
tered
-1.71
dule
-1.70
IC
-1.67
chers
-1.64
icar
-1.62
des
-1.56
ICA
-1.54
rians
-1.53
POSITIVE LOGITS
Ļª
2.39
ª
2.31
¸
2.21
Į
2.04
Ķ
1.98
ķ
1.96
ŀ
1.92
ħ
1.91
Ĵ
1.84
Ĭ
1.84
Act
ivations
Density 0.011%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations