Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 267 in Layer 0

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Text #0

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Max Act: 0.0157. Min Act: -0.0003

Data Index: 46727 (C4 (Web Text))

Max Activating Token Index: 473

Text #1

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Max Act: 0.0129. Min Act: -0.0003

Data Index: 118326 (C4 (Web Text))

Max Activating Token Index: 906

Text #2

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Max Act: 0.0129. Min Act: -0.0003

Data Index: 26658 (C4 (Web Text))

Max Activating Token Index: 461

Text #3

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 549963 (C4 (Web Text))

Max Activating Token Index: 619

Text #4

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Max Activating Token Index: 691

Text #5

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Max Activating Token Index: 190

Text #6

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Max Activating Token Index: 318

Text #7

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Text #8

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Max Activating Token Index: 40

Text #9

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Data Index: 1417923 (Python Code)

Max Activating Token Index: 250

Text #10

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Data Index: 623160 (C4 (Web Text))

Max Activating Token Index: 70

Text #11

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Data Index: 1656835 (Python Code)

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Text #12

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Data Index: 459964 (C4 (Web Text))

Max Activating Token Index: 962

Text #13

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Data Index: 270729 (C4 (Web Text))

Max Activating Token Index: 577

Text #14

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Data Index: 1009048 (C4 (Web Text))

Max Activating Token Index: 779

Text #15

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Data Index: 1588303 (Python Code)

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Text #16

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Data Index: 1348285 (C4 (Web Text))

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Text #17

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Data Index: 1439659 (Python Code)

Max Activating Token Index: 427

Text #18

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 946801 (C4 (Web Text))

Max Activating Token Index: 648

Text #19

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Max Act: 0.0109. Min Act: -0.0003

Data Index: 1515273 (Python Code)

Max Activating Token Index: 268