Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5353 in Layer 1

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Text #0

Max Range: 0.0531. Min Range: -0.0531

Max Act: 0.0520. Min Act: -0.0002

Data Index: 766865 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Max Act: 0.0528. Min Act: -0.0003

Data Index: 1133192 (C4 (Web Text))

Max Activating Token Index: 829

Text #2

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Max Act: 0.0517. Min Act: -0.0002

Data Index: 1642551 (Python Code)

Max Activating Token Index: 36

Text #3

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Max Act: 0.0531. Min Act: -0.0002

Data Index: 1630373 (Python Code)

Max Activating Token Index: 121

Text #4

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Max Act: 0.0519. Min Act: -0.0003

Data Index: 772301 (C4 (Web Text))

Max Activating Token Index: 135

Text #5

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Max Act: 0.0507. Min Act: -0.0002

Data Index: 1522766 (Python Code)

Max Activating Token Index: 48

Text #6

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Data Index: 1438115 (Python Code)

Max Activating Token Index: 576

Text #7

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Data Index: 281021 (C4 (Web Text))

Max Activating Token Index: 311

Text #8

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Data Index: 887768 (C4 (Web Text))

Max Activating Token Index: 394

Text #9

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Data Index: 259091 (C4 (Web Text))

Max Activating Token Index: 482

Text #10

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Data Index: 1482686 (Python Code)

Max Activating Token Index: 35

Text #11

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Data Index: 1643847 (Python Code)

Max Activating Token Index: 418

Text #12

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Data Index: 1605279 (Python Code)

Max Activating Token Index: 238

Text #13

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 229779 (C4 (Web Text))

Max Activating Token Index: 189

Text #14

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Data Index: 1406663 (Python Code)

Max Activating Token Index: 70

Text #15

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Data Index: 442200 (C4 (Web Text))

Max Activating Token Index: 340

Text #16

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Data Index: 1656380 (Python Code)

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Text #17

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Data Index: 662770 (C4 (Web Text))

Max Activating Token Index: 428

Text #18

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Max Act: 0.0458. Min Act: -0.0002

Data Index: 203156 (C4 (Web Text))

Max Activating Token Index: 183

Text #19

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Max Act: 0.0451. Min Act: -0.0002

Data Index: 1483923 (Python Code)

Max Activating Token Index: 311