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

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

Neuron 1743 in Layer 0

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

Text #0

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1313392 (C4 (Web Text))

Max Activating Token Index: 706

Text #1

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Data Index: 568665 (C4 (Web Text))

Max Activating Token Index: 636

Text #2

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Data Index: 42629 (C4 (Web Text))

Max Activating Token Index: 736

Text #3

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Data Index: 855765 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Data Index: 665350 (C4 (Web Text))

Max Activating Token Index: 608

Text #5

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Data Index: 205153 (C4 (Web Text))

Max Activating Token Index: 739

Text #6

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Data Index: 328864 (C4 (Web Text))

Max Activating Token Index: 401

Text #7

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Text #8

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Max Activating Token Index: 923

Text #9

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Max Activating Token Index: 821

Text #10

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Text #11

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Max Activating Token Index: 211

Text #12

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Max Activating Token Index: 377

Text #13

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Data Index: 1130976 (C4 (Web Text))

Max Activating Token Index: 422

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 774658 (C4 (Web Text))

Max Activating Token Index: 814