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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
27057
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MODEL
0-mlp-sm
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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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Neuron Alignment
Index
Value
% of L₁
59
+0.13
0.7%
164
+0.11
0.6%
351
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
120
+0.13
0.02
411
+0.11
0.01
59
+0.10
0.01
Negative Logits
ĸ´
-5.11
ĥ½
-4.68
ĥ
-4.60
»¿
-4.39
į
-4.32
Ĥ¬
-4.28
¬
-4.22
ĺ
-4.21
¿½
-4.08
Ģ
-4.03
POSITIVE LOGITS
ygon
2.31
inic
1.76
arity
1.66
brew
1.60
esan
1.59
ynom
1.57
iton
1.57
ite
1.57
burg
1.56
league
1.54
Act
ivations
Density 0.010%
Stacked
Snippet
Full
Show Breaks
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No Known Activations