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

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

Neuron 1018 in Layer 1

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

Text #0

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Max Act: 0.0834. Min Act: -0.0003

Data Index: 756557 (C4 (Web Text))

Max Activating Token Index: 901

Text #1

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Max Act: 0.0739. Min Act: -0.0003

Data Index: 464216 (C4 (Web Text))

Max Activating Token Index: 1019

Text #2

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Max Act: 0.0766. Min Act: -0.0003

Data Index: 98008 (C4 (Web Text))

Max Activating Token Index: 513

Text #3

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Max Act: 0.0732. Min Act: -0.0003

Data Index: 297867 (C4 (Web Text))

Max Activating Token Index: 503

Text #4

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Max Act: 0.0721. Min Act: -0.0003

Data Index: 607888 (C4 (Web Text))

Max Activating Token Index: 752

Text #5

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Max Act: 0.0706. Min Act: -0.0003

Data Index: 1017853 (C4 (Web Text))

Max Activating Token Index: 241

Text #6

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Data Index: 116506 (C4 (Web Text))

Max Activating Token Index: 437

Text #7

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Max Activating Token Index: 849

Text #8

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Max Activating Token Index: 664

Text #9

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Max Activating Token Index: 757

Text #10

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Data Index: 1207736 (C4 (Web Text))

Max Activating Token Index: 575

Text #11

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Data Index: 167532 (C4 (Web Text))

Max Activating Token Index: 313

Text #12

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Data Index: 527596 (C4 (Web Text))

Max Activating Token Index: 128

Text #13

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Max Activating Token Index: 386

Text #14

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Data Index: 221800 (C4 (Web Text))

Max Activating Token Index: 474

Text #15

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Max Activating Token Index: 609

Text #16

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Text #17

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Max Activating Token Index: 289

Text #18

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Max Activating Token Index: 767

Text #19

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Data Index: 398153 (C4 (Web Text))

Max Activating Token Index: 464