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

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

Neuron 1419 in Layer 0

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

Text #0

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 1015783 (C4 (Web Text))

Max Activating Token Index: 989

Text #1

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Data Index: 578941 (C4 (Web Text))

Max Activating Token Index: 778

Text #2

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Data Index: 109018 (C4 (Web Text))

Max Activating Token Index: 969

Text #3

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Data Index: 670296 (C4 (Web Text))

Max Activating Token Index: 929

Text #4

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Data Index: 1207734 (C4 (Web Text))

Max Activating Token Index: 733

Text #5

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Data Index: 257287 (C4 (Web Text))

Max Activating Token Index: 1006

Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 552917 (C4 (Web Text))

Max Activating Token Index: 667

Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 882851 (C4 (Web Text))

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 634468 (C4 (Web Text))

Max Activating Token Index: 1007