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

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

Neuron 1918 in Layer 1

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

Text #0

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Max Act: 0.0847. Min Act: -0.0003

Data Index: 463324 (C4 (Web Text))

Max Activating Token Index: 394

Text #1

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Max Act: 0.0797. Min Act: -0.0003

Data Index: 531899 (C4 (Web Text))

Max Activating Token Index: 23

Text #2

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Max Act: 0.0772. Min Act: -0.0003

Data Index: 607031 (C4 (Web Text))

Max Activating Token Index: 33

Text #3

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Max Act: 0.0763. Min Act: -0.0003

Data Index: 1152890 (C4 (Web Text))

Max Activating Token Index: 253

Text #4

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Max Act: 0.0734. Min Act: -0.0003

Data Index: 798722 (C4 (Web Text))

Max Activating Token Index: 122

Text #5

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Max Act: 0.0765. Min Act: -0.0003

Data Index: 1279645 (C4 (Web Text))

Max Activating Token Index: 697

Text #6

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Data Index: 1326941 (C4 (Web Text))

Max Activating Token Index: 17

Text #7

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Data Index: 286859 (C4 (Web Text))

Max Activating Token Index: 994

Text #8

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Data Index: 1145688 (C4 (Web Text))

Max Activating Token Index: 467

Text #9

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Data Index: 707987 (C4 (Web Text))

Max Activating Token Index: 618

Text #10

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Data Index: 583874 (C4 (Web Text))

Max Activating Token Index: 21

Text #11

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Data Index: 1130076 (C4 (Web Text))

Max Activating Token Index: 206

Text #12

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Data Index: 893805 (C4 (Web Text))

Max Activating Token Index: 336

Text #13

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Data Index: 705486 (C4 (Web Text))

Max Activating Token Index: 310

Text #14

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Data Index: 208857 (C4 (Web Text))

Max Activating Token Index: 503

Text #15

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Max Activating Token Index: 307

Text #16

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Text #17

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Data Index: 868941 (C4 (Web Text))

Max Activating Token Index: 427

Text #18

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Max Act: 0.0710. Min Act: -0.0003

Data Index: 550407 (C4 (Web Text))

Max Activating Token Index: 337

Text #19

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Max Act: 0.0701. Min Act: -0.0003

Data Index: 844894 (C4 (Web Text))

Max Activating Token Index: 361