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

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

Neuron 877 in Layer 0

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Text #0

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Max Act: 0.0145. Min Act: -0.0002

Data Index: 506903 (C4 (Web Text))

Max Activating Token Index: 58

Text #1

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 430519 (C4 (Web Text))

Max Activating Token Index: 903

Text #2

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 1417543 (Python Code)

Max Activating Token Index: 590

Text #3

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 1514620 (Python Code)

Max Activating Token Index: 796

Text #4

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Max Act: 0.0127. Min Act: -0.0001

Data Index: 541466 (C4 (Web Text))

Max Activating Token Index: 880

Text #5

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 927787 (C4 (Web Text))

Max Activating Token Index: 601

Text #6

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Max Act: 0.0115. Min Act: -0.0001

Data Index: 707831 (C4 (Web Text))

Max Activating Token Index: 513

Text #7

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Data Index: 1405383 (Python Code)

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Text #8

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Data Index: 1050121 (C4 (Web Text))

Max Activating Token Index: 595

Text #9

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Data Index: 1566260 (Python Code)

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Text #10

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Data Index: 774539 (C4 (Web Text))

Max Activating Token Index: 983

Text #11

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Data Index: 1475000 (Python Code)

Max Activating Token Index: 235

Text #12

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Data Index: 1398561 (Python Code)

Max Activating Token Index: 654

Text #13

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 858744 (C4 (Web Text))

Max Activating Token Index: 420

Text #14

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Data Index: 1622311 (Python Code)

Max Activating Token Index: 117

Text #15

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Data Index: 1408115 (Python Code)

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Text #16

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Data Index: 1289239 (C4 (Web Text))

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Text #17

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Data Index: 752085 (C4 (Web Text))

Max Activating Token Index: 241

Text #18

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Data Index: 597924 (C4 (Web Text))

Max Activating Token Index: 977

Text #19

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Max Act: 0.0104. Min Act: -0.0001

Data Index: 695823 (C4 (Web Text))

Max Activating Token Index: 936