Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 777 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0470. Min Act: -0.0003

Data Index: 99028 (C4 (Web Text))

Max Activating Token Index: 75

Text #1

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Max Act: 0.0449. Min Act: -0.0003

Data Index: 842055 (C4 (Web Text))

Max Activating Token Index: 614

Text #2

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 1057239 (C4 (Web Text))

Max Activating Token Index: 460

Text #3

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 610567 (C4 (Web Text))

Max Activating Token Index: 503

Text #4

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Data Index: 905232 (C4 (Web Text))

Max Activating Token Index: 929

Text #5

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 529105 (C4 (Web Text))

Max Activating Token Index: 775

Text #6

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Max Act: 0.0391. Min Act: -0.0003

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Max Activating Token Index: 355

Text #7

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Max Activating Token Index: 759

Text #8

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Max Activating Token Index: 446

Text #9

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Max Activating Token Index: 917

Text #10

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Max Activating Token Index: 431

Text #11

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Max Activating Token Index: 335

Text #12

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Max Activating Token Index: 715

Text #13

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Data Index: 478111 (C4 (Web Text))

Max Activating Token Index: 465

Text #14

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Max Activating Token Index: 312

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 663

Text #18

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Max Activating Token Index: 721

Text #19

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Data Index: 582373 (C4 (Web Text))

Max Activating Token Index: 788