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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1501 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.2624. Min Act: -0.0000

Data Index: 267785 (C4 (Web Text))

Max Activating Token Index: 217

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Text #1

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Max Act: 0.2295. Min Act: -0.0000

Data Index: 34715 (C4 (Web Text))

Max Activating Token Index: 963

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Text #2

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Max Act: 0.2139. Min Act: -0.0000

Data Index: 1041347 (C4 (Web Text))

Max Activating Token Index: 409

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Text #3

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Max Act: 0.2365. Min Act: -0.0000

Data Index: 1591176 (Python Code)

Max Activating Token Index: 626

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Text #4

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Data Index: 1644944 (Python Code)

Max Activating Token Index: 521

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Text #5

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Data Index: 1442298 (Python Code)

Max Activating Token Index: 825

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Text #6

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Data Index: 1499599 (Python Code)

Max Activating Token Index: 730

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Text #7

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Data Index: 1367428 (Python Code)

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Text #8

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Data Index: 268505 (C4 (Web Text))

Max Activating Token Index: 928

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Text #9

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Data Index: 877109 (C4 (Web Text))

Max Activating Token Index: 404

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Text #10

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Data Index: 1408695 (Python Code)

Max Activating Token Index: 375

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Text #11

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Data Index: 1432955 (Python Code)

Max Activating Token Index: 481

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Text #12

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Data Index: 1578803 (Python Code)

Max Activating Token Index: 967

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Text #13

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Data Index: 1580348 (Python Code)

Max Activating Token Index: 622

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Text #14

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Data Index: 1450713 (Python Code)

Max Activating Token Index: 107

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Text #15

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Data Index: 1436950 (Python Code)

Max Activating Token Index: 734

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Text #16

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Data Index: 1423494 (Python Code)

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Text #17

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Data Index: 1633130 (Python Code)

Max Activating Token Index: 797

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Text #18

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Data Index: 1501799 (Python Code)

Max Activating Token Index: 498

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Text #19

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Max Act: 0.1792. Min Act: -0.0000

Data Index: 1403355 (Python Code)

Max Activating Token Index: 476

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