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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27741
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0-mlp-sm
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Explanations
chemical compounds related to acidity
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/27741?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
410
+0.14
0.8%
230
+0.14
0.8%
327
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.14
0.01
410
+0.14
0.01
3
+0.13
0.01
Negative Logits
else
-1.62
'</
-1.59
auc
-1.55
time
-1.52
else
-1.49
replaced
-1.44
oths
-1.43
normal
-1.39
Âł↵
-1.39
nominal
-1.39
POSITIVE LOGITS
ĻĤ
4.50
ŀ
3.77
¡
3.69
¥
3.64
¢
3.63
ģ
3.55
£
3.52
¿½
3.49
¨
3.48
Ĩ
3.38
Act
ivations
Density 0.009%
Stacked
Snippet
Full
Show Raw Tokens
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No Known Activations