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

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

Neuron 1748 in Layer 0

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

Text #0

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Max Act: 0.0438. Min Act: -0.0005

Data Index: 851552 (C4 (Web Text))

Max Activating Token Index: 816

Text #1

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Max Activating Token Index: 961

Text #2

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Max Act: 0.0436. Min Act: -0.0004

Data Index: 1022492 (C4 (Web Text))

Max Activating Token Index: 818

Text #3

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Max Act: 0.0426. Min Act: -0.0005

Data Index: 238287 (C4 (Web Text))

Max Activating Token Index: 339

Text #4

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Data Index: 419782 (C4 (Web Text))

Max Activating Token Index: 896

Text #5

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Max Activating Token Index: 758

Text #6

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Max Activating Token Index: 541

Text #7

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Max Activating Token Index: 424

Text #8

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Max Activating Token Index: 971

Text #9

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Max Activating Token Index: 210

Text #10

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Data Index: 359885 (C4 (Web Text))

Max Activating Token Index: 409

Text #11

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Max Activating Token Index: 627

Text #12

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Max Activating Token Index: 155

Text #13

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Max Activating Token Index: 969

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: 1015

Text #18

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Max Activating Token Index: 804

Text #19

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Data Index: 703134 (C4 (Web Text))

Max Activating Token Index: 481