Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 590 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0638. Min Act: -0.0003

Data Index: 265023 (C4 (Web Text))

Max Activating Token Index: 174

Text #1

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Data Index: 978092 (C4 (Web Text))

Max Activating Token Index: 670

Text #2

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Max Act: 0.0531. Min Act: -0.0002

Data Index: 360434 (C4 (Web Text))

Max Activating Token Index: 72

Text #3

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Max Act: 0.0536. Min Act: -0.0003

Data Index: 601218 (C4 (Web Text))

Max Activating Token Index: 34

Text #4

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Data Index: 894731 (C4 (Web Text))

Max Activating Token Index: 550

Text #5

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Max Activating Token Index: 74

Text #6

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Text #7

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Max Activating Token Index: 817

Text #8

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Max Activating Token Index: 831

Text #9

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Max Activating Token Index: 389

Text #10

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Max Activating Token Index: 461

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Max Activating Token Index: 909

Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 232

Text #18

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Text #19

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Data Index: 329366 (C4 (Web Text))

Max Activating Token Index: 697