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

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

Neuron 1164 in Layer 0

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Text #0

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 496836 (C4 (Web Text))

Max Activating Token Index: 705

Text #1

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Max Act: 0.0191. Min Act: -0.0003

Data Index: 268189 (C4 (Web Text))

Max Activating Token Index: 936

Text #2

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 1641498 (Python Code)

Max Activating Token Index: 338

Text #3

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Max Act: 0.0189. Min Act: -0.0003

Data Index: 188350 (C4 (Web Text))

Max Activating Token Index: 722

Text #4

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 678834 (C4 (Web Text))

Max Activating Token Index: 232

Text #5

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Data Index: 1415036 (Python Code)

Max Activating Token Index: 737

Text #6

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Data Index: 328777 (C4 (Web Text))

Max Activating Token Index: 253

Text #7

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Data Index: 1363353 (Python Code)

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Text #8

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Data Index: 1364878 (Python Code)

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Text #9

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Data Index: 1557273 (Python Code)

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Text #10

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Max Activating Token Index: 565

Text #11

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Max Activating Token Index: 662

Text #12

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Data Index: 1520177 (Python Code)

Max Activating Token Index: 605

Text #13

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Data Index: 1516484 (Python Code)

Max Activating Token Index: 859

Text #14

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Data Index: 1474637 (Python Code)

Max Activating Token Index: 839

Text #15

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Data Index: 1342235 (C4 (Web Text))

Max Activating Token Index: 702

Text #16

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Data Index: 1200248 (C4 (Web Text))

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Text #17

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Data Index: 356640 (C4 (Web Text))

Max Activating Token Index: 622

Text #18

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Data Index: 1440626 (Python Code)

Max Activating Token Index: 888

Text #19

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1487520 (Python Code)

Max Activating Token Index: 1020