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

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

Neuron 5064 in Layer 1

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Text #0

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Max Act: 0.1290. Min Act: -0.0002

Data Index: 933747 (C4 (Web Text))

Max Activating Token Index: 359

Text #1

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Max Act: 0.1204. Min Act: -0.0002

Data Index: 1486655 (Python Code)

Max Activating Token Index: 749

Text #2

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Max Act: 0.1202. Min Act: -0.0002

Data Index: 166718 (C4 (Web Text))

Max Activating Token Index: 957

Text #3

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Max Act: 0.1196. Min Act: -0.0002

Data Index: 1589075 (Python Code)

Max Activating Token Index: 716

Text #4

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Data Index: 1090821 (C4 (Web Text))

Max Activating Token Index: 608

Text #5

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Data Index: 1550022 (Python Code)

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Text #6

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Data Index: 569964 (C4 (Web Text))

Max Activating Token Index: 676

Text #7

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Data Index: 1506054 (Python Code)

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Text #8

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Text #9

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Data Index: 1581855 (Python Code)

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Text #10

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Max Activating Token Index: 489

Text #11

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Data Index: 944200 (C4 (Web Text))

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Text #12

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Data Index: 1527056 (Python Code)

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Text #13

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Data Index: 1385406 (Python Code)

Max Activating Token Index: 706

Text #14

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Max Act: 0.1118. Min Act: -0.0002

Data Index: 478236 (C4 (Web Text))

Max Activating Token Index: 662

Text #15

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Data Index: 1375865 (Python Code)

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Text #16

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Data Index: 1616019 (Python Code)

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Text #17

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Data Index: 1459809 (Python Code)

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Text #18

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Max Act: 0.1094. Min Act: -0.0002

Data Index: 43220 (C4 (Web Text))

Max Activating Token Index: 174

Text #19

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Max Act: 0.1053. Min Act: -0.0002

Data Index: 1387613 (Python Code)

Max Activating Token Index: 131