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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26411
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0-mlp-sm
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Explanations
the word "including."
oai_token-act-pair · gpt-4o-mini
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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
129
+0.20
1.2%
376
+0.19
1.1%
334
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
129
+0.20
0.01
62
+0.19
0.02
316
+0.13
0.01
Negative Logits
®
-2.39
Ĵ
-2.10
ī
-1.98
&
-1.94
ĨĴ
-1.90
´
-1.72
Ħ
-1.70
&
-1.70
ĵ
-1.61
¬
-1.59
POSITIVE LOGITS
ages
1.61
inib
1.54
iders
1.54
tered
1.51
cibly
1.49
appropri
1.47
ovir
1.46
aker
1.43
comings
1.43
cible
1.41
Act
ivations
Density 0.021%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations