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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30632
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MODEL
0-mlp-sm
Source/SAE
INDEX
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Explanations
instances of the word "could" indicating potential or possibility
oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Intrusion Detection
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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Link
https://www.neuronpedia.org/pythia-70m-deduped/0-mlp-sm/30632?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Neuron Alignment
Index
Value
% of L₁
351
+0.14
0.8%
10
+0.14
0.8%
237
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
202
+0.14
0.10
486
+0.14
0.08
415
+0.12
0.07
Negative Logits
ŀ
-2.05
Ĭ
-2.02
¸
-1.95
£
-1.92
©
-1.85
ĸ
-1.84
¡
-1.81
Ķ
-1.79
Īĺ
-1.77
ij
-1.75
POSITIVE LOGITS
ega
1.73
rene
1.68
roup
1.64
asio
1.50
rena
1.48
![](
1.45
ictional
1.42
onica
1.41
orphism
1.39
.";
1.38
Act
ivations
Density 0.061%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations