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

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

Neuron 1049 in Layer 2

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

Text #0

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Max Act: 0.0915. Min Act: -0.0003

Data Index: 1174012 (C4 (Web Text))

Max Activating Token Index: 618

Text #1

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Max Act: 0.0824. Min Act: -0.0003

Data Index: 1020362 (C4 (Web Text))

Max Activating Token Index: 942

Text #2

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Max Act: 0.0794. Min Act: -0.0003

Data Index: 191907 (C4 (Web Text))

Max Activating Token Index: 416

Text #3

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Max Act: 0.0736. Min Act: -0.0003

Data Index: 547923 (C4 (Web Text))

Max Activating Token Index: 625

Text #4

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Max Act: 0.0715. Min Act: -0.0004

Data Index: 758391 (C4 (Web Text))

Max Activating Token Index: 54

Text #5

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Data Index: 971570 (C4 (Web Text))

Max Activating Token Index: 422

Text #6

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Max Activating Token Index: 242

Text #7

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Text #8

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Max Activating Token Index: 332

Text #9

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Max Activating Token Index: 259

Text #10

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Max Activating Token Index: 363

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Max Activating Token Index: 1001

Text #12

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Max Activating Token Index: 461

Text #13

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Max Activating Token Index: 269

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 737

Text #18

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Data Index: 457149 (C4 (Web Text))

Max Activating Token Index: 243

Text #19

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Data Index: 1148788 (C4 (Web Text))

Max Activating Token Index: 568