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

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

Neuron 810 in Layer 0

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Text #0

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 63028 (C4 (Web Text))

Max Activating Token Index: 635

Text #1

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Max Act: 0.0126. Min Act: -0.0003

Data Index: 176284 (C4 (Web Text))

Max Activating Token Index: 523

Text #2

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1316700 (C4 (Web Text))

Max Activating Token Index: 593

Text #3

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 1290640 (C4 (Web Text))

Max Activating Token Index: 521

Text #4

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 1494263 (Python Code)

Max Activating Token Index: 688

Text #5

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 1428716 (Python Code)

Max Activating Token Index: 291

Text #6

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Data Index: 1008917 (C4 (Web Text))

Max Activating Token Index: 480

Text #7

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Data Index: 1323872 (C4 (Web Text))

Max Activating Token Index: 965

Text #8

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Data Index: 1408336 (Python Code)

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Text #9

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Data Index: 1437272 (Python Code)

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Text #10

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Data Index: 729545 (C4 (Web Text))

Max Activating Token Index: 165

Text #11

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Data Index: 1545596 (Python Code)

Max Activating Token Index: 438

Text #12

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Data Index: 427463 (C4 (Web Text))

Max Activating Token Index: 332

Text #13

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Data Index: 1146587 (C4 (Web Text))

Max Activating Token Index: 863

Text #14

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Data Index: 470384 (C4 (Web Text))

Max Activating Token Index: 1020

Text #15

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Max Activating Token Index: 918

Text #16

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Data Index: 1444739 (Python Code)

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Text #17

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Data Index: 85387 (C4 (Web Text))

Max Activating Token Index: 113

Text #18

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Max Act: 0.0115. Min Act: -0.0003

Data Index: 1379012 (Python Code)

Max Activating Token Index: 816

Text #19

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Max Act: 0.0114. Min Act: -0.0002

Data Index: 1436351 (Python Code)

Max Activating Token Index: 345