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

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

Neuron 1380 in Layer 0

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Text #0

Max Range: 0.0442. Min Range: -0.0442

Max Act: 0.0442. Min Act: -0.0003

Data Index: 1187471 (C4 (Web Text))

Max Activating Token Index: 906

Text #1

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 1509217 (Python Code)

Max Activating Token Index: 735

Text #2

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Max Act: 0.0383. Min Act: -0.0003

Data Index: 625483 (C4 (Web Text))

Max Activating Token Index: 658

Text #3

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 608826 (C4 (Web Text))

Max Activating Token Index: 364

Text #4

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Max Act: 0.0378. Min Act: -0.0003

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Max Activating Token Index: 413

Text #5

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Max Act: 0.0377. Min Act: -0.0003

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Max Activating Token Index: 126

Text #6

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Max Activating Token Index: 957

Text #7

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Data Index: 1247497 (C4 (Web Text))

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Text #8

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Data Index: 1491786 (Python Code)

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Text #9

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Max Activating Token Index: 466

Text #10

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Text #11

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Data Index: 1299196 (C4 (Web Text))

Max Activating Token Index: 105

Text #12

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Data Index: 1486983 (Python Code)

Max Activating Token Index: 337

Text #13

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 159238 (C4 (Web Text))

Max Activating Token Index: 60

Text #14

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Data Index: 1364193 (Python Code)

Max Activating Token Index: 266

Text #15

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Data Index: 1563126 (Python Code)

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Text #16

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Text #17

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Data Index: 425907 (C4 (Web Text))

Max Activating Token Index: 814

Text #18

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Data Index: 1413403 (Python Code)

Max Activating Token Index: 610

Text #19

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Max Act: 0.0356. Min Act: -0.0003

Data Index: 1557514 (Python Code)

Max Activating Token Index: 640