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

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

Neuron 1949 in Layer 1

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

Text #0

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Max Act: 0.0518. Min Act: -0.0006

Data Index: 111905 (C4 (Web Text))

Max Activating Token Index: 650

Text #1

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Data Index: 721611 (C4 (Web Text))

Max Activating Token Index: 627

Text #2

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Max Act: 0.0527. Min Act: -0.0006

Data Index: 660594 (C4 (Web Text))

Max Activating Token Index: 742

Text #3

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Max Act: 0.0516. Min Act: -0.0006

Data Index: 37152 (C4 (Web Text))

Max Activating Token Index: 915

Text #4

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Data Index: 1263116 (C4 (Web Text))

Max Activating Token Index: 591

Text #5

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Max Activating Token Index: 691

Text #6

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Max Activating Token Index: 666

Text #7

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Max Activating Token Index: 796

Text #8

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Max Activating Token Index: 80

Text #9

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Max Activating Token Index: 795

Text #10

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Max Activating Token Index: 300

Text #11

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Max Activating Token Index: 606

Text #12

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Max Activating Token Index: 951

Text #13

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Data Index: 37487 (C4 (Web Text))

Max Activating Token Index: 829

Text #14

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Max Activating Token Index: 858

Text #15

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Max Activating Token Index: 526

Text #16

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Max Activating Token Index: 605

Text #17

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Max Activating Token Index: 789

Text #18

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Data Index: 410958 (C4 (Web Text))

Max Activating Token Index: 911

Text #19

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Data Index: 164131 (C4 (Web Text))

Max Activating Token Index: 578