Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 191 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 439535 (C4 (Web Text))
Max Activating Token Index: 670
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Text #1
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Data Index: 1492383 (Python Code)
Max Activating Token Index: 591
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Text #2
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Data Index: 497814 (C4 (Web Text))
Max Activating Token Index: 569
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Text #3
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Data Index: 1099209 (C4 (Web Text))
Max Activating Token Index: 887
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Text #4
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Data Index: 823206 (C4 (Web Text))
Max Activating Token Index: 1003
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Text #5
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Data Index: 1228098 (C4 (Web Text))
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Text #6
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Data Index: 1295987 (C4 (Web Text))
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Text #7
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Data Index: 513877 (C4 (Web Text))
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Text #8
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Data Index: 820351 (C4 (Web Text))
Max Activating Token Index: 881
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Text #9
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Data Index: 1271580 (C4 (Web Text))
Max Activating Token Index: 890
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Text #10
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Data Index: 479976 (C4 (Web Text))
Max Activating Token Index: 300
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Text #11
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Data Index: 4513 (C4 (Web Text))
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Text #12
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Data Index: 1365189 (Python Code)
Max Activating Token Index: 591
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Text #13
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Data Index: 1059685 (C4 (Web Text))
Max Activating Token Index: 333
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Text #14
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Data Index: 755865 (C4 (Web Text))
Max Activating Token Index: 831
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Text #15
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Data Index: 902539 (C4 (Web Text))
Max Activating Token Index: 446
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Text #16
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Data Index: 1146737 (C4 (Web Text))
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Text #17
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Data Index: 1075717 (C4 (Web Text))
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Text #18
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Data Index: 650533 (C4 (Web Text))
Max Activating Token Index: 309
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Text #19
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Max Act: 0.0125. Min Act: -0.0005
Data Index: 144076 (C4 (Web Text))
Max Activating Token Index: 555
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