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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
30852
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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
376
+0.21
1.2%
365
+0.11
0.6%
467
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
341
+0.21
0.01
392
+0.11
0.01
114
+0.10
0.01
Negative Logits
]>
-1.77
|}
-1.62
Your
-1.59
]}
-1.55
\}}
-1.50
your
-1.50
called
-1.47
)$)
-1.43
waters
-1.41
sweat
-1.40
POSITIVE LOGITS
ĻĤ
2.33
ª
2.11
£
2.09
Į
1.95
hole
1.93
¾
1.92
¡
1.89
®
1.83
²
1.82
holes
1.80
Act
ivations
Density 0.017%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations