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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26047
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0-mlp-sm
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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
376
+0.21
1.2%
156
+0.19
1.1%
115
+0.18
1.0%
Correlated Neurons
Index
P. Corr.
Cos Sim.
279
+0.21
0.01
24
+0.19
0.01
263
+0.18
0.01
Negative Logits
º
-3.32
·
-3.05
¯
-2.89
¸
-2.87
·¸
-2.84
½
-2.59
ĨĴ
-2.52
ĥ½
-2.49
ij
-2.48
ĭ
-2.45
POSITIVE LOGITS
able
2.03
worthy
1.79
ible
1.73
wright
1.57
versus
1.53
vs
1.51
ably
1.49
entes
1.45
ché
1.42
entric
1.39
Act
ivations
Density 0.010%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations