Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1234 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 271357 (C4 (Web Text))

Max Activating Token Index: 585

Text #1

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 335068 (C4 (Web Text))

Max Activating Token Index: 186

Text #2

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Max Act: 0.0344. Min Act: -0.0003

Data Index: 282556 (C4 (Web Text))

Max Activating Token Index: 90

Text #3

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 1356768 (C4 (Web Text))

Max Activating Token Index: 404

Text #4

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Max Act: 0.0345. Min Act: -0.0003

Data Index: 855164 (C4 (Web Text))

Max Activating Token Index: 341

Text #5

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Max Act: 0.0340. Min Act: -0.0003

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Max Activating Token Index: 74

Text #6

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Max Activating Token Index: 312

Text #7

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Max Activating Token Index: 256

Text #8

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Max Activating Token Index: 587

Text #9

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Max Activating Token Index: 345

Text #10

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Max Activating Token Index: 490

Text #11

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Max Activating Token Index: 925

Text #12

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Data Index: 119480 (C4 (Web Text))

Max Activating Token Index: 511

Text #13

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Data Index: 327126 (C4 (Web Text))

Max Activating Token Index: 254

Text #14

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Max Activating Token Index: 612

Text #15

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Text #16

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Max Activating Token Index: 199

Text #17

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Max Activating Token Index: 151

Text #18

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Data Index: 583048 (C4 (Web Text))

Max Activating Token Index: 479

Text #19

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Data Index: 413204 (C4 (Web Text))

Max Activating Token Index: 390