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Under Peer Review · Sparse Autoencoders for Pythia-70M-Deduped
Pythia-70M-Deduped
MLP Post
0-MLP-SM
29597
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MODEL
0-mlp-sm
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Explanations
references to size or dimensions in various contexts
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
156
+0.19
1.2%
376
+0.12
0.7%
269
+0.12
0.7%
Correlated Neurons
Index
P. Corr.
Cos Sim.
381
+0.19
0.02
48
+0.12
0.02
75
+0.12
0.02
Negative Logits
ĥ½
-2.81
ľĵ
-2.58
¿½
-2.27
·¸
-2.07
Ĥ
-2.04
-2.04
↵↵
-2.04
↵
-2.04
č↵
-2.04
-2.04
POSITIVE LOGITS
etable
2.01
wise
1.95
endor
1.91
ball
1.88
ista
1.73
fal
1.73
FW
1.72
ful
1.71
cule
1.70
ional
1.67
Act
ivations
Density 0.022%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations