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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28569
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MODEL
0-mlp-sm
Source/SAE
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Explanations
questions and expressions of uncertainty or curiosity
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
75
+0.12
0.7%
410
+0.12
0.7%
214
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
111
+0.12
0.01
366
+0.12
0.01
309
+0.11
0.01
Negative Logits
?"
-1.79
METHODS
-1.68
");
-1.66
aning
-1.57
ishing
-1.55
")
-1.53
reviewed
-1.50
ances
-1.47
itoring
-1.42
.")
-1.41
POSITIVE LOGITS
·
2.70
ĻĤ
2.35
į
2.28
Į
2.22
½
2.19
£
2.17
¤
2.11
ģ
2.10
ī
2.09
ŀ
2.09
Act
ivations
Density 0.092%
Stacked
Snippet
Full
Show Breaks
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No Known Activations