Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1547 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0243. Min Act: -0.0006

Data Index: 27633 (C4 (Web Text))

Max Activating Token Index: 735

Text #1

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Max Activating Token Index: 447

Text #2

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Max Act: 0.0239. Min Act: -0.0006

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Max Activating Token Index: 659

Text #3

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Data Index: 410018 (C4 (Web Text))

Max Activating Token Index: 23

Text #4

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Data Index: 1273140 (C4 (Web Text))

Max Activating Token Index: 160

Text #5

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Max Activating Token Index: 925

Text #6

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Max Activating Token Index: 480

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 878

Text #10

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Max Activating Token Index: 60

Text #11

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Max Activating Token Index: 918

Text #12

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Max Activating Token Index: 239

Text #13

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Text #14

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Data Index: 503185 (C4 (Web Text))

Max Activating Token Index: 434

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 553

Text #18

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Max Activating Token Index: 95

Text #19

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Data Index: 282479 (C4 (Web Text))

Max Activating Token Index: 189