Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1915 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0286. Min Act: -0.0006

Data Index: 261561 (C4 (Web Text))

Max Activating Token Index: 53

Text #1

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Data Index: 1323317 (C4 (Web Text))

Max Activating Token Index: 14

Text #2

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Max Act: 0.0267. Min Act: -0.0006

Data Index: 1015609 (C4 (Web Text))

Max Activating Token Index: 360

Text #3

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Max Act: 0.0263. Min Act: -0.0006

Data Index: 1310804 (C4 (Web Text))

Max Activating Token Index: 26

Text #4

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Data Index: 787467 (C4 (Web Text))

Max Activating Token Index: 408

Text #5

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Max Act: 0.0253. Min Act: -0.0006

Data Index: 531801 (C4 (Web Text))

Max Activating Token Index: 32

Text #6

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Max Activating Token Index: 239

Text #7

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Max Activating Token Index: 727

Text #8

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Max Activating Token Index: 627

Text #9

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Max Activating Token Index: 435

Text #10

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Max Activating Token Index: 472

Text #11

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Max Activating Token Index: 564

Text #12

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Max Activating Token Index: 724

Text #13

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Max Activating Token Index: 132

Text #14

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Data Index: 754101 (C4 (Web Text))

Max Activating Token Index: 613

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 297005 (C4 (Web Text))

Max Activating Token Index: 245

Text #19

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Data Index: 828117 (C4 (Web Text))

Max Activating Token Index: 46