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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26429
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MODEL
0-mlp-sm
Source/SAE
INDEX
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Explanations
phrases indicating minimum thresholds or significant amounts
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
409
+0.13
0.7%
376
+0.13
0.7%
241
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
409
+0.13
0.05
67
+0.13
0.04
353
+0.12
0.04
Negative Logits
age
-1.53
inals
-1.47
opause
-1.46
purpose
-1.45
FPar
-1.41
oting
-1.39
inated
-1.36
aging
-1.35
icity
-1.35
cutoff
-1.35
POSITIVE LOGITS
ī
1.65
ª
1.57
yme
1.52
↵ ↵
1.52
↵
1.52
1.52
↵
1.52
1.52
1.52
1.52
Act
ivations
Density 0.463%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations