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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28101
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to illicit drugs, particularly cocaine
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/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
156
+0.24
1.4%
422
+0.13
0.8%
376
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
422
+0.24
0.01
453
+0.13
0.01
63
+0.11
0.01
Negative Logits
ĥ½
-2.35
ĭ
-2.04
Ķ
-2.01
·
-1.99
į
-1.92
ľĵ
-1.90
¯
-1.88
Ļª
-1.87
-1.85
↵
-1.85
POSITIVE LOGITS
caster
1.80
break
1.63
amount
1.51
([
1.51
ulence
1.49
works
1.49
acters
1.46
osity
1.45
ulent
1.44
amount
1.43
Act
ivations
Density 0.013%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations