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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26664
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MODEL
0-mlp-sm
Source/SAE
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Explanations
references to medical conditions, specifically indicating obstructive diseases
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
111
+0.15
0.9%
268
+0.11
0.6%
148
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.15
0.01
268
+0.11
0.01
22
+0.11
0.01
Negative Logits
full
-1.68
rie
-1.55
len
-1.53
total
-1.49
Applic
-1.39
greater
-1.36
Available
-1.36
ched
-1.33
less
-1.32
rian
-1.30
POSITIVE LOGITS
ĻĤ
2.91
Ĩ
2.70
¹
2.60
µ
2.59
¡
2.50
Ł
2.40
Īĺ
2.40
®
2.29
£
2.27
´
2.23
Act
ivations
Density 0.016%
Stacked
Snippet
Full
Show Breaks
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No Known Activations