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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
26396
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MODEL
0-mlp-sm
Source/SAE
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Explanations
attributes related to width and height measurements
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
217
+0.14
0.8%
156
+0.14
0.8%
269
+0.13
0.8%
Correlated Neurons
Index
P. Corr.
Cos Sim.
245
+0.14
0.02
269
+0.14
0.01
506
+0.13
0.01
Negative Logits
¿
-2.39
¿½
-2.37
Ĥ
-2.29
ķ
-2.28
ĵ
-2.23
ĥ½
-2.12
¸
-2.01
·
-1.99
±
-1.95
Īĺ
-1.93
POSITIVE LOGITS
eno
1.98
quel
1.75
edo
1.68
ière
1.66
robe
1.64
enum
1.63
book
1.63
era
1.63
ened
1.62
sheet
1.60
Act
ivations
Density 0.028%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations