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

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

Neuron 1570 in Layer 0

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

Text #0

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 665697 (C4 (Web Text))

Max Activating Token Index: 16

Text #1

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Max Activating Token Index: 958

Text #2

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 178969 (C4 (Web Text))

Max Activating Token Index: 446

Text #3

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1235612 (C4 (Web Text))

Max Activating Token Index: 25

Text #4

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1053555 (C4 (Web Text))

Max Activating Token Index: 63

Text #5

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 12857 (C4 (Web Text))

Max Activating Token Index: 497

Text #6

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Max Activating Token Index: 984

Text #7

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Max Activating Token Index: 79

Text #8

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Text #9

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Max Activating Token Index: 581

Text #10

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Data Index: 889608 (C4 (Web Text))

Max Activating Token Index: 762

Text #11

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Data Index: 1347459 (C4 (Web Text))

Max Activating Token Index: 362

Text #12

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Max Activating Token Index: 131

Text #13

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Max Activating Token Index: 45

Text #14

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Max Activating Token Index: 60

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 588

Text #18

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Max Activating Token Index: 373

Text #19

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Data Index: 962651 (C4 (Web Text))

Max Activating Token Index: 336