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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30630
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MODEL
0-mlp-sm
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oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
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
470
+0.15
0.9%
341
+0.14
0.8%
260
+0.13
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
341
+0.15
0.03
200
+0.14
0.02
470
+0.13
0.02
Negative Logits
allo
-1.71
blic
-1.61
nger
-1.59
s
-1.55
reek
-1.51
ty
-1.46
>>
-1.46
SHA
-1.43
sburg
-1.41
sat
-1.41
POSITIVE LOGITS
ographs
2.02
·¸
2.00
Į
2.00
µ
1.93
Īĺ
1.89
¶
1.89
±
1.85
ł
1.84
ī
1.82
°
1.81
Act
ivations
Density 0.031%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations