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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
28140
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MODEL
0-mlp-sm
Source/SAE
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Explanations
numerical values, particularly those that indicate measurements or counts
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
81
+0.17
1.0%
203
+0.14
0.8%
69
+0.14
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
81
+0.17
0.07
69
+0.14
0.06
139
+0.14
0.06
Negative Logits
owitz
-1.46
"?"
-1.39
himself
-1.37
usion
-1.30
olas
-1.29
msgstr
-1.28
idad
-1.24
loo
-1.22
He
-1.22
ibid
-1.21
POSITIVE LOGITS
į
2.67
ļ
2.43
Ŀ
2.39
ģ
2.37
Ľ
2.23
ħ
2.18
ł
2.12
Ķ
2.10
¥
2.05
Į
2.03
Act
ivations
Density 3.544%
Stacked
Snippet
Full
Show Breaks
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No Known Activations