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

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

Neuron 1159 in Layer 0

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Text #0

Max Range: 0.0332. Min Range: -0.0332

Max Act: 0.0332. Min Act: -0.0003

Data Index: 1575637 (Python Code)

Max Activating Token Index: 946

Text #1

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Max Act: 0.0316. Min Act: -0.0003

Data Index: 1329368 (C4 (Web Text))

Max Activating Token Index: 157

Text #2

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 1069828 (C4 (Web Text))

Max Activating Token Index: 838

Text #3

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 677731 (C4 (Web Text))

Max Activating Token Index: 770

Text #4

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 1546397 (Python Code)

Max Activating Token Index: 408

Text #5

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Max Act: 0.0279. Min Act: -0.0003

Data Index: 706689 (C4 (Web Text))

Max Activating Token Index: 379

Text #6

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Data Index: 1514463 (Python Code)

Max Activating Token Index: 71

Text #7

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Text #8

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Max Activating Token Index: 694

Text #9

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Data Index: 1557322 (Python Code)

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Text #10

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Data Index: 1637785 (Python Code)

Max Activating Token Index: 965

Text #11

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Data Index: 586728 (C4 (Web Text))

Max Activating Token Index: 545

Text #12

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Data Index: 1589751 (Python Code)

Max Activating Token Index: 46

Text #13

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 277504 (C4 (Web Text))

Max Activating Token Index: 381

Text #14

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Data Index: 174679 (C4 (Web Text))

Max Activating Token Index: 279

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 104

Text #18

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Data Index: 1398048 (Python Code)

Max Activating Token Index: 506

Text #19

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 113583 (C4 (Web Text))

Max Activating Token Index: 669