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

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

Neuron 962 in Layer 0

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

Text #0

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Max Act: 0.0376. Min Act: -0.0004

Data Index: 1106458 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Max Activating Token Index: 642

Text #2

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Data Index: 1241423 (C4 (Web Text))

Max Activating Token Index: 444

Text #3

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Data Index: 393659 (C4 (Web Text))

Max Activating Token Index: 605

Text #4

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Data Index: 530237 (C4 (Web Text))

Max Activating Token Index: 922

Text #5

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Max Activating Token Index: 324

Text #6

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Max Activating Token Index: 358

Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 477479 (C4 (Web Text))

Max Activating Token Index: 411

Text #11

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Max Activating Token Index: 940

Text #12

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Max Activating Token Index: 234

Text #13

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Max Activating Token Index: 673

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: 609

Text #18

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Text #19

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Data Index: 697343 (C4 (Web Text))

Max Activating Token Index: 998