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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24286
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MODEL
2-mlp-sm
Source/SAE
INDEX
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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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Link
https://www.neuronpedia.org/pythia-70m-deduped/2-mlp-sm/24286?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
300
+0.13
0.7%
459
+0.13
0.7%
358
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
459
+0.13
0.09
457
+0.13
0.04
33
+0.11
0.06
Negative Logits
<%
-1.59
visa
-1.47
fax
-1.47
cgi
-1.39
ainen
-1.39
ppa
-1.36
Loading
-1.36
pload
-1.35
swer
-1.34
Html
-1.34
POSITIVE LOGITS
Ī
3.06
Į
2.97
®
2.82
ı
2.66
ł
2.66
Ĺ
2.65
Īĺ
2.62
ĥ
2.59
↵
2.54
č↵
2.54
Act
ivations
Density 0.901%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations