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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29259
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0-mlp-sm
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references to compressed file formats, specifically gzip and tar.gz
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
264
+0.12
0.7%
286
+0.10
0.6%
397
+0.10
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
264
+0.12
0.01
286
+0.10
0.01
397
+0.10
0.01
Negative Logits
Ĥ
-2.10
¿½
-2.10
ĵ
-2.08
Ĩ
-2.06
¦
-2.02
Īĺ
-1.96
ı
-1.89
Ĥ¬
-1.86
´
-1.86
ĭ
-1.84
POSITIVE LOGITS
ÅĽci
2.09
eries
1.84
esan
1.76
Rptr
1.70
ün
1.66
rooms
1.60
illion
1.60
ee
1.58
room
1.57
opan
1.56
Act
ivations
Density 0.059%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations