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

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

Neuron 195 in Layer 0

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Text #0

Max Range: 0.0705. Min Range: -0.0705

Max Act: 0.0705. Min Act: -0.0002

Data Index: 1066105 (C4 (Web Text))

Max Activating Token Index: 371

Text #1

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Max Act: 0.0574. Min Act: -0.0003

Data Index: 916227 (C4 (Web Text))

Max Activating Token Index: 351

Text #2

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Max Act: 0.0562. Min Act: -0.0003

Data Index: 1440369 (Python Code)

Max Activating Token Index: 354

Text #3

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Max Act: 0.0524. Min Act: -0.0003

Data Index: 1512653 (Python Code)

Max Activating Token Index: 281

Text #4

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Max Act: 0.0501. Min Act: -0.0003

Data Index: 1622257 (Python Code)

Max Activating Token Index: 953

Text #5

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Max Act: 0.0510. Min Act: -0.0003

Data Index: 1584530 (Python Code)

Max Activating Token Index: 163

Text #6

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Data Index: 1569313 (Python Code)

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Text #7

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Data Index: 71638 (C4 (Web Text))

Max Activating Token Index: 935

Text #8

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Data Index: 1516689 (Python Code)

Max Activating Token Index: 114

Text #9

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Data Index: 860648 (C4 (Web Text))

Max Activating Token Index: 922

Text #10

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Max Act: 0.0524. Min Act: -0.0003

Data Index: 1239073 (C4 (Web Text))

Max Activating Token Index: 609

Text #11

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Data Index: 1006552 (C4 (Web Text))

Max Activating Token Index: 772

Text #12

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Data Index: 723933 (C4 (Web Text))

Max Activating Token Index: 1000

Text #13

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Max Act: 0.0502. Min Act: -0.0002

Data Index: 633163 (C4 (Web Text))

Max Activating Token Index: 429

Text #14

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Max Act: 0.0494. Min Act: -0.0002

Data Index: 37281 (C4 (Web Text))

Max Activating Token Index: 538

Text #15

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Text #16

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Data Index: 320460 (C4 (Web Text))

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Text #17

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Data Index: 1550402 (Python Code)

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Text #18

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Data Index: 1571728 (Python Code)

Max Activating Token Index: 611

Text #19

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Max Act: 0.0477. Min Act: -0.0003

Data Index: 1642162 (Python Code)

Max Activating Token Index: 611