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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26092
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to cholesterol levels in the context of health and diet
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
156
+0.19
1.1%
293
+0.13
0.7%
232
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
293
+0.19
0.01
453
+0.13
0.01
232
+0.12
0.01
Negative Logits
¯
-2.01
±
-1.97
į
-1.83
»
-1.78
ij
-1.69
ļ
-1.68
waking
-1.68
Ķ
-1.66
imon
-1.65
ĥ½
-1.63
POSITIVE LOGITS
stalk
1.82
vre
1.58
LW
1.57
rises
1.44
curve
1.42
oon
1.38
RH
1.38
wart
1.37
burner
1.36
ume
1.36
Act
ivations
Density 0.010%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations