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

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

Neuron 1626 in Layer 1

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

Text #0

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 648348 (C4 (Web Text))

Max Activating Token Index: 252

Text #1

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 1356256 (C4 (Web Text))

Max Activating Token Index: 963

Text #2

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Max Act: 0.0438. Min Act: -0.0004

Data Index: 522993 (C4 (Web Text))

Max Activating Token Index: 833

Text #3

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Max Act: 0.0410. Min Act: -0.0004

Data Index: 87342 (C4 (Web Text))

Max Activating Token Index: 988

Text #4

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 805519 (C4 (Web Text))

Max Activating Token Index: 733

Text #5

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Max Act: 0.0424. Min Act: -0.0003

Data Index: 854254 (C4 (Web Text))

Max Activating Token Index: 105

Text #6

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Data Index: 657092 (C4 (Web Text))

Max Activating Token Index: 926

Text #7

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Max Activating Token Index: 703

Text #8

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Max Activating Token Index: 459

Text #9

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Max Activating Token Index: 748

Text #10

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Max Activating Token Index: 934

Text #11

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Max Activating Token Index: 861

Text #12

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Max Activating Token Index: 973

Text #13

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Data Index: 74952 (C4 (Web Text))

Max Activating Token Index: 826

Text #14

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Max Activating Token Index: 936

Text #15

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Max Activating Token Index: 341

Text #16

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Text #17

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Max Activating Token Index: 999

Text #18

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Data Index: 371724 (C4 (Web Text))

Max Activating Token Index: 300

Text #19

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Data Index: 800445 (C4 (Web Text))

Max Activating Token Index: 915