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

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

Neuron 572 in Layer 7

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

Text #0

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Max Act: 0.2694. Min Act: -0.0000

Data Index: 1457292 (Python Code)

Max Activating Token Index: 71

Text #1

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Max Act: 0.2442. Min Act: -0.0000

Data Index: 1641996 (Python Code)

Max Activating Token Index: 444

Text #2

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Max Act: 0.2303. Min Act: -0.0000

Data Index: 1602316 (Python Code)

Max Activating Token Index: 405

Text #3

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Max Act: 0.2389. Min Act: -0.0000

Data Index: 1549437 (Python Code)

Max Activating Token Index: 336

Text #4

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Max Act: 0.2575. Min Act: -0.0000

Data Index: 1636185 (Python Code)

Max Activating Token Index: 1005

Text #5

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Max Act: 0.2442. Min Act: -0.0000

Data Index: 1254150 (C4 (Web Text))

Max Activating Token Index: 905

Text #6

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Data Index: 1107187 (C4 (Web Text))

Max Activating Token Index: 995

Text #7

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Data Index: 573368 (C4 (Web Text))

Max Activating Token Index: 425

Text #8

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Data Index: 1515759 (Python Code)

Max Activating Token Index: 374

Text #9

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Data Index: 574768 (C4 (Web Text))

Max Activating Token Index: 820

Text #10

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Data Index: 1581966 (Python Code)

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Text #11

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Max Activating Token Index: 868

Text #12

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Max Activating Token Index: 350

Text #13

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Data Index: 1133853 (C4 (Web Text))

Max Activating Token Index: 414

Text #14

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Data Index: 241737 (C4 (Web Text))

Max Activating Token Index: 989

Text #15

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Max Activating Token Index: 749

Text #16

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Data Index: 1474048 (Python Code)

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Text #17

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Data Index: 36822 (C4 (Web Text))

Max Activating Token Index: 722

Text #18

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Data Index: 1489592 (Python Code)

Max Activating Token Index: 802

Text #19

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Max Act: 0.2300. Min Act: -0.0000

Data Index: 533337 (C4 (Web Text))

Max Activating Token Index: 505