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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28931
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MODEL
0-mlp-sm
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Explanations
references to biological conditions or observations related to cellular structures
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
+0.24
1.4%
467
+0.14
0.8%
362
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
487
+0.24
0.01
123
+0.14
0.01
385
+0.13
0.01
Negative Logits
ween
-1.80
akin
-1.62
ighter
-1.51
agn
-1.49
agle
-1.49
uen
-1.48
chanical
-1.45
unt
-1.44
ashi
-1.44
itian
-1.41
POSITIVE LOGITS
¿½
3.01
Ł
2.91
ĻĤ
2.75
¡
2.73
ŀ
2.70
Ģ
2.62
º
2.59
ĺ
2.54
®
2.47
¢
2.45
Act
ivations
Density 0.120%
Stacked
Snippet
Full
Show Breaks
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No Known Activations