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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 48 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.1075. Min Act: -0.0002

Data Index: 863539 (C4 (Web Text))

Max Activating Token Index: 338

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Text #1

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Max Act: 0.1080. Min Act: -0.0002

Data Index: 438523 (C4 (Web Text))

Max Activating Token Index: 756

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Text #2

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Max Act: 0.1028. Min Act: -0.0002

Data Index: 904537 (C4 (Web Text))

Max Activating Token Index: 497

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Text #3

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Max Act: 0.1082. Min Act: -0.0002

Data Index: 662849 (C4 (Web Text))

Max Activating Token Index: 408

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Text #4

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Max Act: 0.0969. Min Act: -0.0002

Data Index: 1601927 (Python Code)

Max Activating Token Index: 968

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Text #5

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Max Act: 0.1017. Min Act: -0.0002

Data Index: 94108 (C4 (Web Text))

Max Activating Token Index: 978

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Text #6

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Data Index: 1469552 (Python Code)

Max Activating Token Index: 725

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Text #7

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Data Index: 1414306 (Python Code)

Max Activating Token Index: 965

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Text #8

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Max Act: 0.0927. Min Act: -0.0002

Data Index: 515087 (C4 (Web Text))

Max Activating Token Index: 577

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Text #9

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Max Act: 0.0992. Min Act: -0.0002

Data Index: 301908 (C4 (Web Text))

Max Activating Token Index: 747

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Text #10

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Data Index: 407167 (C4 (Web Text))

Max Activating Token Index: 430

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Text #11

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Data Index: 1507005 (Python Code)

Max Activating Token Index: 642

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Text #12

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Data Index: 1494241 (Python Code)

Max Activating Token Index: 616

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Text #13

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Data Index: 60832 (C4 (Web Text))

Max Activating Token Index: 306

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Text #14

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Data Index: 1646942 (Python Code)

Max Activating Token Index: 773

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Text #15

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Data Index: 1000952 (C4 (Web Text))

Max Activating Token Index: 528

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Text #16

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Data Index: 1620703 (Python Code)

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Text #17

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Data Index: 1422294 (Python Code)

Max Activating Token Index: 1019

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Text #18

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Data Index: 153601 (C4 (Web Text))

Max Activating Token Index: 337

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Text #19

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Max Act: 0.0886. Min Act: -0.0002

Data Index: 210559 (C4 (Web Text))

Max Activating Token Index: 106

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