Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1077 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0560. Min Act: -0.0002

Data Index: 311524 (C4 (Web Text))

Max Activating Token Index: 7

Text #1

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Max Act: 0.0513. Min Act: -0.0002

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Max Activating Token Index: 30

Text #2

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Max Act: 0.0498. Min Act: -0.0002

Data Index: 519566 (C4 (Web Text))

Max Activating Token Index: 132

Text #3

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Max Act: 0.0492. Min Act: -0.0002

Data Index: 1142437 (C4 (Web Text))

Max Activating Token Index: 54

Text #4

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Max Act: 0.0466. Min Act: -0.0002

Data Index: 1317618 (C4 (Web Text))

Max Activating Token Index: 607

Text #5

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Data Index: 298470 (C4 (Web Text))

Max Activating Token Index: 763

Text #6

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Data Index: 448334 (C4 (Web Text))

Max Activating Token Index: 103

Text #7

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Max Activating Token Index: 731

Text #8

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Max Activating Token Index: 404

Text #9

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Max Activating Token Index: 834

Text #10

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Max Activating Token Index: 4

Text #11

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Max Activating Token Index: 894

Text #12

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Max Activating Token Index: 122

Text #13

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Max Activating Token Index: 780

Text #14

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Max Activating Token Index: 226

Text #15

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Text #16

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Max Activating Token Index: 372

Text #17

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Data Index: 1382979 (Python Code)

Max Activating Token Index: 371

Text #18

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Data Index: 1254262 (C4 (Web Text))

Max Activating Token Index: 22

Text #19

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Data Index: 264652 (C4 (Web Text))

Max Activating Token Index: 112