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

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

Neuron 4501 in Layer 1

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

Text #0

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Max Act: 0.0891. Min Act: -0.0003

Data Index: 168960 (C4 (Web Text))

Max Activating Token Index: 161

Text #1

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Data Index: 600120 (C4 (Web Text))

Max Activating Token Index: 959

Text #2

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Max Act: 0.0791. Min Act: -0.0002

Data Index: 38480 (C4 (Web Text))

Max Activating Token Index: 625

Text #3

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Data Index: 758159 (C4 (Web Text))

Max Activating Token Index: 582

Text #4

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Data Index: 1174267 (C4 (Web Text))

Max Activating Token Index: 348

Text #5

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Max Activating Token Index: 250

Text #6

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Max Activating Token Index: 508

Text #7

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Max Activating Token Index: 504

Text #8

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Max Activating Token Index: 369

Text #9

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Max Activating Token Index: 45

Text #10

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Max Activating Token Index: 548

Text #11

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Max Activating Token Index: 631

Text #12

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Max Activating Token Index: 163

Text #13

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Data Index: 234018 (C4 (Web Text))

Max Activating Token Index: 697

Text #14

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Data Index: 715567 (C4 (Web Text))

Max Activating Token Index: 605

Text #15

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Text #16

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Max Activating Token Index: 722

Text #17

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Data Index: 1162004 (C4 (Web Text))

Max Activating Token Index: 490

Text #18

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Data Index: 483980 (C4 (Web Text))

Max Activating Token Index: 666

Text #19

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Data Index: 946572 (C4 (Web Text))

Max Activating Token Index: 353