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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28109
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MODEL
0-mlp-sm
Source/SAE
INDEX
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Explanations
repetitive phrases indicating welcome or invitation
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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
107
+0.14
0.8%
14
+0.13
0.7%
346
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
258
+0.14
0.35
23
+0.13
0.33
56
+0.11
0.09
Negative Logits
¾
-2.69
¿
-2.69
·¸
-2.67
²
-2.59
ľ
-2.51
¯
-2.45
£
-2.40
´
-2.36
Ļ
-2.31
½
-2.27
POSITIVE LOGITS
thur
1.80
borough
1.73
lights
1.68
elves
1.62
lain
1.60
croft
1.52
ghosts
1.49
pent
1.49
Bg
1.48
hum
1.47
Act
ivations
Density 3.874%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations