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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
23752
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MODEL
2-mlp-sm
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references to digital media and technology usage
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/2-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.2.hook_mlp_out
Hook Layer
2
Architecture
standard
Context Size
128
Dataset
EleutherAI/the_pile_deduplicated
Activation Function
relu
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Neuron Alignment
Index
Value
% of L₁
291
+0.12
0.7%
214
+0.12
0.6%
446
+0.11
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
214
+0.12
0.02
164
+0.12
0.02
291
+0.11
0.01
Negative Logits
BA
-1.50
ocyte
-1.49
ichi
-1.47
://
-1.44
touchdowns
-1.41
Sat
-1.39
readers
-1.36
åĬ¡
-1.36
zeit
-1.34
ynaptic
-1.33
POSITIVE LOGITS
¯
2.57
Ł
2.56
ĩ
2.32
ĺ
2.32
°
2.29
ł
2.25
·
2.25
¾
2.23
¡
2.18
Ŀ
2.16
Act
ivations
Density 0.202%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations