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

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

Neuron 302 in Layer 0

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Text #0

Max Range: 0.0475. Min Range: -0.0475

Max Act: 0.0475. Min Act: -0.0003

Data Index: 254266 (C4 (Web Text))

Max Activating Token Index: 22

Text #1

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 981490 (C4 (Web Text))

Max Activating Token Index: 292

Text #2

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 1456205 (Python Code)

Max Activating Token Index: 212

Text #3

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 1136155 (C4 (Web Text))

Max Activating Token Index: 451

Text #4

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Max Act: 0.0346. Min Act: -0.0003

Data Index: 1621133 (Python Code)

Max Activating Token Index: 912

Text #5

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 1643532 (Python Code)

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Text #6

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Data Index: 1258936 (C4 (Web Text))

Max Activating Token Index: 302

Text #7

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Data Index: 1516850 (Python Code)

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Text #8

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Data Index: 1624424 (Python Code)

Max Activating Token Index: 588

Text #9

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Data Index: 571919 (C4 (Web Text))

Max Activating Token Index: 664

Text #10

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Data Index: 1462552 (Python Code)

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Text #11

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Data Index: 1651422 (Python Code)

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Text #12

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Data Index: 1351525 (C4 (Web Text))

Max Activating Token Index: 185

Text #13

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Data Index: 1029109 (C4 (Web Text))

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Text #14

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 1247247 (C4 (Web Text))

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Text #15

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 403080 (C4 (Web Text))

Max Activating Token Index: 141

Text #16

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Data Index: 1557483 (Python Code)

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Text #17

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Data Index: 1582822 (Python Code)

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Text #18

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Data Index: 1484264 (Python Code)

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Text #19

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Max Act: 0.0293. Min Act: -0.0003

Data Index: 21044 (C4 (Web Text))

Max Activating Token Index: 395