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

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

Neuron 100 in Layer 2

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

Text #0

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Data Index: 481575 (C4 (Web Text))

Max Activating Token Index: 215

Text #1

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Max Activating Token Index: 635

Text #2

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Max Activating Token Index: 12

Text #3

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Max Act: 0.0603. Min Act: -0.0002

Data Index: 259713 (C4 (Web Text))

Max Activating Token Index: 6

Text #4

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Max Activating Token Index: 484

Text #5

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Max Activating Token Index: 539

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 491

Text #9

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Max Activating Token Index: 779

Text #10

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Max Activating Token Index: 812

Text #11

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Max Activating Token Index: 805

Text #12

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Max Activating Token Index: 278

Text #13

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Max Activating Token Index: 551

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 96

Text #17

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Max Activating Token Index: 336

Text #18

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Text #19

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Data Index: 426546 (C4 (Web Text))

Max Activating Token Index: 575