Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 36 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 973618 (C4 (Web Text))

Max Activating Token Index: 891

Text #1

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Max Activating Token Index: 699

Text #2

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Max Act: 0.0116. Min Act: -0.0004

Data Index: 763154 (C4 (Web Text))

Max Activating Token Index: 477

Text #3

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Max Act: 0.0116. Min Act: -0.0004

Data Index: 853910 (C4 (Web Text))

Max Activating Token Index: 90

Text #4

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Data Index: 481996 (C4 (Web Text))

Max Activating Token Index: 651

Text #5

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Data Index: 975090 (C4 (Web Text))

Max Activating Token Index: 530

Text #6

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Data Index: 417352 (C4 (Web Text))

Max Activating Token Index: 758

Text #7

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Max Activating Token Index: 265

Text #8

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Max Activating Token Index: 844

Text #9

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Max Activating Token Index: 334

Text #10

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Max Activating Token Index: 983

Text #11

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Max Activating Token Index: 902

Text #12

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Max Activating Token Index: 577

Text #13

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Max Activating Token Index: 229

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 339

Text #18

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Max Activating Token Index: 378

Text #19

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Data Index: 364919 (C4 (Web Text))

Max Activating Token Index: 763