Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 605 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0844. Min Act: -0.0005

Data Index: 345042 (C4 (Web Text))

Max Activating Token Index: 148

Text #1

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Max Act: 0.0698. Min Act: -0.0005

Data Index: 501694 (C4 (Web Text))

Max Activating Token Index: 683

Text #2

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Max Act: 0.0701. Min Act: -0.0005

Data Index: 185979 (C4 (Web Text))

Max Activating Token Index: 903

Text #3

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Max Act: 0.0673. Min Act: -0.0005

Data Index: 1276479 (C4 (Web Text))

Max Activating Token Index: 25

Text #4

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Max Act: 0.0672. Min Act: -0.0005

Data Index: 600561 (C4 (Web Text))

Max Activating Token Index: 578

Text #5

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Max Act: 0.0689. Min Act: -0.0005

Data Index: 790980 (C4 (Web Text))

Max Activating Token Index: 880

Text #6

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Data Index: 1106680 (C4 (Web Text))

Max Activating Token Index: 174

Text #7

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Max Activating Token Index: 875

Text #8

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Data Index: 790558 (C4 (Web Text))

Max Activating Token Index: 383

Text #9

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Data Index: 126756 (C4 (Web Text))

Max Activating Token Index: 556

Text #10

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Data Index: 1199943 (C4 (Web Text))

Max Activating Token Index: 878

Text #11

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Data Index: 1092994 (C4 (Web Text))

Max Activating Token Index: 387

Text #12

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Max Activating Token Index: 707

Text #13

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Max Activating Token Index: 471

Text #14

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Data Index: 513397 (C4 (Web Text))

Max Activating Token Index: 44

Text #15

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Max Activating Token Index: 609

Text #16

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Max Activating Token Index: 71

Text #17

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Data Index: 277070 (C4 (Web Text))

Max Activating Token Index: 17

Text #18

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Max Activating Token Index: 860

Text #19

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Max Act: 0.0614. Min Act: -0.0005

Data Index: 465698 (C4 (Web Text))

Max Activating Token Index: 389