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

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

Neuron 1541 in Layer 2

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

Text #0

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Max Act: 0.0541. Min Act: -0.0005

Data Index: 999694 (C4 (Web Text))

Max Activating Token Index: 31

Text #1

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Max Act: 0.0531. Min Act: -0.0005

Data Index: 417910 (C4 (Web Text))

Max Activating Token Index: 125

Text #2

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Max Act: 0.0547. Min Act: -0.0005

Data Index: 1431727 (Python Code)

Max Activating Token Index: 229

Text #3

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Data Index: 137932 (C4 (Web Text))

Max Activating Token Index: 778

Text #4

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Max Act: 0.0535. Min Act: -0.0005

Data Index: 327561 (C4 (Web Text))

Max Activating Token Index: 915

Text #5

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Data Index: 1232883 (C4 (Web Text))

Max Activating Token Index: 673

Text #6

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Max Activating Token Index: 904

Text #7

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Max Activating Token Index: 774

Text #8

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Max Activating Token Index: 533

Text #9

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Max Activating Token Index: 416

Text #10

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Max Activating Token Index: 738

Text #11

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Max Activating Token Index: 948

Text #12

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Data Index: 34530 (C4 (Web Text))

Max Activating Token Index: 888

Text #13

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Data Index: 478508 (C4 (Web Text))

Max Activating Token Index: 722

Text #14

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Max Activating Token Index: 888

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 56

Text #18

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Data Index: 1473156 (Python Code)

Max Activating Token Index: 128

Text #19

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Data Index: 28889 (C4 (Web Text))

Max Activating Token Index: 652