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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23541
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to city governance and legislative processes
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/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
396
+0.15
0.8%
23
+0.15
0.8%
95
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
339
+0.15
0.05
162
+0.15
0.06
235
+0.11
0.04
Negative Logits
ŀ
-3.74
º
-3.65
ĺ
-3.49
¥
-3.43
ķ
-3.37
¿
-3.37
İ
-3.37
®
-3.28
Ľ
-3.28
ļ
-3.27
POSITIVE LOGITS
town
1.89
abouts
1.58
Borough
1.49
ÑģÑĮ
1.46
wick
1.43
,''
1.42
wig
1.42
awa
1.42
wrong
1.38
wrong
1.38
Act
ivations
Density 0.552%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations