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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28797
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to "prop" as it's a common term in programming and component definitions
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
429
+0.12
0.7%
300
+0.11
0.7%
217
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
386
+0.12
0.02
177
+0.11
0.01
385
+0.11
0.01
Negative Logits
Ĺ
-2.91
Ń
-2.77
ĸ´
-2.50
Ĭ
-2.48
ľ
-2.43
Ĥ
-2.39
·¸
-2.36
°
-2.34
´
-2.32
µ
-2.27
POSITIVE LOGITS
abad
1.78
idium
1.77
abase
1.76
aceous
1.73
’
1.70
maker
1.65
ibase
1.63
inqu
1.63
zilla
1.62
ech
1.62
Act
ivations
Density 0.022%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations