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

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

Neuron 2603 in Layer 0

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

Text #0

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 1178928 (C4 (Web Text))

Max Activating Token Index: 69

Text #1

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 629729 (C4 (Web Text))

Max Activating Token Index: 26

Text #2

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Max Act: 0.0104. Min Act: -0.0002

Data Index: 693906 (C4 (Web Text))

Max Activating Token Index: 128

Text #3

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 519018 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Max Act: 0.0095. Min Act: -0.0002

Data Index: 333350 (C4 (Web Text))

Max Activating Token Index: 796

Text #5

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 127034 (C4 (Web Text))

Max Activating Token Index: 469

Text #6

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Data Index: 1303914 (C4 (Web Text))

Max Activating Token Index: 348

Text #7

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 161765 (C4 (Web Text))

Max Activating Token Index: 386

Text #8

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Max Activating Token Index: 5

Text #9

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 1350840 (C4 (Web Text))

Max Activating Token Index: 266

Text #10

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Max Act: 0.0090. Min Act: -0.0002

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Max Activating Token Index: 338

Text #11

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Data Index: 933194 (C4 (Web Text))

Max Activating Token Index: 256

Text #12

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Data Index: 683083 (C4 (Web Text))

Max Activating Token Index: 646

Text #13

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Data Index: 198803 (C4 (Web Text))

Max Activating Token Index: 159

Text #14

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Data Index: 791065 (C4 (Web Text))

Max Activating Token Index: 53

Text #15

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Max Activating Token Index: 326

Text #16

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Max Activating Token Index: 73

Text #17

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Max Activating Token Index: 41

Text #18

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Max Activating Token Index: 591

Text #19

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 561918 (C4 (Web Text))

Max Activating Token Index: 6