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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23389
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MODEL
2-mlp-sm
Source/SAE
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Explanations
phrases related to research and academic studies
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
ctigges/pythia-70m-deduped__mlp-sm_processed/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
97
+0.14
0.8%
388
+0.11
0.6%
508
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
219
+0.14
0.03
380
+0.11
0.02
508
+0.11
0.03
Negative Logits
Ĵ
-2.02
Īĺ
-1.98
ı
-1.96
↵ ³³³
-1.87
-1.87
-1.87
↵
-1.87
↵↵
-1.87
-1.87
-1.87
POSITIVE LOGITS
ÃŃc
1.91
isd
1.81
dass
1.73
zet
1.70
ções
1.62
sx
1.60
ert
1.51
ipt
1.51
punches
1.49
ases
1.46
Act
ivations
Density 0.345%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations