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

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

Neuron 732 in Layer 0

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Text #0

Max Range: 0.0971. Min Range: -0.0971

Max Act: 0.0971. Min Act: -0.0003

Data Index: 338819 (C4 (Web Text))

Max Activating Token Index: 103

Text #1

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Max Act: 0.0651. Min Act: -0.0003

Data Index: 50832 (C4 (Web Text))

Max Activating Token Index: 800

Text #2

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Max Act: 0.0598. Min Act: -0.0003

Data Index: 1368091 (Python Code)

Max Activating Token Index: 858

Text #3

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Max Act: 0.0562. Min Act: -0.0003

Data Index: 1101915 (C4 (Web Text))

Max Activating Token Index: 242

Text #4

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Max Act: 0.0525. Min Act: -0.0003

Data Index: 448709 (C4 (Web Text))

Max Activating Token Index: 969

Text #5

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Max Act: 0.0506. Min Act: -0.0003

Data Index: 317535 (C4 (Web Text))

Max Activating Token Index: 86

Text #6

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Max Activating Token Index: 620

Text #7

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Data Index: 776549 (C4 (Web Text))

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Text #8

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Max Activating Token Index: 145

Text #9

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Data Index: 383089 (C4 (Web Text))

Max Activating Token Index: 220

Text #10

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Data Index: 253868 (C4 (Web Text))

Max Activating Token Index: 36

Text #11

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Data Index: 1502668 (Python Code)

Max Activating Token Index: 426

Text #12

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Data Index: 528500 (C4 (Web Text))

Max Activating Token Index: 96

Text #13

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Data Index: 1006159 (C4 (Web Text))

Max Activating Token Index: 182

Text #14

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Data Index: 501773 (C4 (Web Text))

Max Activating Token Index: 853

Text #15

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Max Activating Token Index: 830

Text #16

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Data Index: 1363125 (Python Code)

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Text #17

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Data Index: 1386532 (Python Code)

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Text #18

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Data Index: 548296 (C4 (Web Text))

Max Activating Token Index: 943

Text #19

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Max Act: 0.0449. Min Act: -0.0003

Data Index: 1275120 (C4 (Web Text))

Max Activating Token Index: 358