Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2915 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 756986 (C4 (Web Text))

Max Activating Token Index: 351

Text #1

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 572238 (C4 (Web Text))

Max Activating Token Index: 457

Text #2

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 942116 (C4 (Web Text))

Max Activating Token Index: 868

Text #3

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 175516 (C4 (Web Text))

Max Activating Token Index: 315

Text #4

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Max Act: 0.0063. Min Act: -0.0002

Data Index: 948666 (C4 (Web Text))

Max Activating Token Index: 245

Text #5

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Max Act: 0.0062. Min Act: -0.0002

Data Index: 782691 (C4 (Web Text))

Max Activating Token Index: 489

Text #6

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Max Act: 0.0061. Min Act: -0.0002

Data Index: 146242 (C4 (Web Text))

Max Activating Token Index: 585

Text #7

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Max Activating Token Index: 767

Text #8

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Data Index: 1305011 (C4 (Web Text))

Max Activating Token Index: 269

Text #9

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 970036 (C4 (Web Text))

Max Activating Token Index: 128

Text #10

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Data Index: 1379737 (Python Code)

Max Activating Token Index: 826

Text #11

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Data Index: 6291 (C4 (Web Text))

Max Activating Token Index: 6

Text #12

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Max Activating Token Index: 48

Text #13

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Data Index: 427075 (C4 (Web Text))

Max Activating Token Index: 15

Text #14

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Max Activating Token Index: 654

Text #15

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Max Activating Token Index: 85

Text #16

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Max Activating Token Index: 364

Text #17

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Max Activating Token Index: 7

Text #18

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Data Index: 338257 (C4 (Web Text))

Max Activating Token Index: 323

Text #19

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Max Act: 0.0060. Min Act: -0.0002

Data Index: 264179 (C4 (Web Text))

Max Activating Token Index: 66