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

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

Neuron 125 in Layer 0

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Text #0

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Max Act: 0.0903. Min Act: -0.0002

Data Index: 57194 (C4 (Web Text))

Max Activating Token Index: 122

Text #1

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Max Act: 0.0906. Min Act: -0.0003

Data Index: 1291182 (C4 (Web Text))

Max Activating Token Index: 635

Text #2

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Max Act: 0.0827. Min Act: -0.0003

Data Index: 1423804 (Python Code)

Max Activating Token Index: 850

Text #3

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Max Act: 0.0829. Min Act: -0.0003

Data Index: 1127399 (C4 (Web Text))

Max Activating Token Index: 567

Text #4

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Data Index: 1411075 (Python Code)

Max Activating Token Index: 547

Text #5

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Data Index: 468676 (C4 (Web Text))

Max Activating Token Index: 35

Text #6

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Max Activating Token Index: 463

Text #7

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Data Index: 9495 (C4 (Web Text))

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Text #8

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Data Index: 1563410 (Python Code)

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Text #9

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Data Index: 990118 (C4 (Web Text))

Max Activating Token Index: 616

Text #10

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Max Activating Token Index: 978

Text #11

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Text #12

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Data Index: 1624896 (Python Code)

Max Activating Token Index: 773

Text #13

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Data Index: 936039 (C4 (Web Text))

Max Activating Token Index: 351

Text #14

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Data Index: 381417 (C4 (Web Text))

Max Activating Token Index: 1012

Text #15

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Text #16

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Text #17

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Data Index: 503402 (C4 (Web Text))

Max Activating Token Index: 266

Text #18

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Data Index: 1159871 (C4 (Web Text))

Max Activating Token Index: 915

Text #19

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Max Act: 0.0712. Min Act: -0.0003

Data Index: 1018197 (C4 (Web Text))

Max Activating Token Index: 498