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

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

Neuron 1614 in Layer 0

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

Text #0

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 1048081 (C4 (Web Text))

Max Activating Token Index: 529

Text #1

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Data Index: 796612 (C4 (Web Text))

Max Activating Token Index: 226

Text #2

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 371687 (C4 (Web Text))

Max Activating Token Index: 474

Text #3

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Max Act: 0.0170. Min Act: -0.0006

Data Index: 532774 (C4 (Web Text))

Max Activating Token Index: 445

Text #4

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Data Index: 1348980 (C4 (Web Text))

Max Activating Token Index: 775

Text #5

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Max Activating Token Index: 480

Text #6

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Max Activating Token Index: 444

Text #7

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Text #8

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Max Activating Token Index: 457

Text #9

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Text #10

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Max Activating Token Index: 364

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Max Activating Token Index: 864

Text #12

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Max Activating Token Index: 157

Text #13

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Max Activating Token Index: 205

Text #14

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Max Activating Token Index: 303

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 1000

Text #19

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Data Index: 1232725 (C4 (Web Text))

Max Activating Token Index: 861