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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
2-MLP-SM
24094
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MODEL
2-mlp-sm
Source/SAE
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Explanations
references to personal experiences and storytelling
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/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
190
+0.12
0.7%
465
+0.12
0.6%
493
+0.12
0.6%
Correlated Neurons
Index
P. Corr.
Cos Sim.
246
+0.12
0.12
95
+0.12
0.11
2
+0.12
0.10
Negative Logits
ĻĤ
-2.21
Īĺ
-1.79
¯
-1.62
¦
-1.60
º
-1.56
tour
-1.55
ij
-1.54
ŀ
-1.54
±
-1.53
↵
-1.53
POSITIVE LOGITS
"));
1.71
ign
1.63
'));
1.63
).)
1.59
asts
1.59
omb
1.58
adesh
1.57
ift
1.56
ocket
1.55
uracy
1.54
Act
ivations
Density 2.475%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations