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

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

Neuron 1426 in Layer 0

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Text #0

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 412524 (C4 (Web Text))

Max Activating Token Index: 645

Text #1

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 1087124 (C4 (Web Text))

Max Activating Token Index: 71

Text #2

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 27972 (C4 (Web Text))

Max Activating Token Index: 828

Text #3

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1549401 (Python Code)

Max Activating Token Index: 733

Text #4

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Data Index: 1567118 (Python Code)

Max Activating Token Index: 171

Text #5

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Data Index: 1468261 (Python Code)

Max Activating Token Index: 641

Text #6

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Data Index: 1276879 (C4 (Web Text))

Max Activating Token Index: 45

Text #7

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Data Index: 1567367 (Python Code)

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Text #8

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Data Index: 394041 (C4 (Web Text))

Max Activating Token Index: 463

Text #9

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Data Index: 1164007 (C4 (Web Text))

Max Activating Token Index: 779

Text #10

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Data Index: 1441040 (Python Code)

Max Activating Token Index: 383

Text #11

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Data Index: 1615263 (Python Code)

Max Activating Token Index: 81

Text #12

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Max Activating Token Index: 582

Text #13

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Data Index: 701272 (C4 (Web Text))

Max Activating Token Index: 957

Text #14

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Max Activating Token Index: 142

Text #15

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Max Activating Token Index: 794

Text #16

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Data Index: 1368297 (Python Code)

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Text #17

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Data Index: 931040 (C4 (Web Text))

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Text #18

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Data Index: 1566874 (Python Code)

Max Activating Token Index: 486

Text #19

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Max Act: 0.0136. Min Act: -0.0002

Data Index: 828920 (C4 (Web Text))

Max Activating Token Index: 539