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

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

Neuron 107 in Layer 0

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

Text #0

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Max Act: 0.1769. Min Act: -0.0004

Data Index: 78203 (C4 (Web Text))

Max Activating Token Index: 746

Text #1

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Data Index: 999112 (C4 (Web Text))

Max Activating Token Index: 122

Text #2

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Max Act: 0.1712. Min Act: -0.0004

Data Index: 912301 (C4 (Web Text))

Max Activating Token Index: 51

Text #3

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Max Act: 0.1709. Min Act: -0.0004

Data Index: 1329942 (C4 (Web Text))

Max Activating Token Index: 144

Text #4

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Max Act: 0.1709. Min Act: -0.0004

Data Index: 503999 (C4 (Web Text))

Max Activating Token Index: 613

Text #5

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Max Act: 0.1677. Min Act: -0.0004

Data Index: 61024 (C4 (Web Text))

Max Activating Token Index: 426

Text #6

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Max Activating Token Index: 156

Text #7

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Max Activating Token Index: 930

Text #8

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Max Activating Token Index: 464

Text #9

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Max Activating Token Index: 326

Text #10

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Text #11

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Max Activating Token Index: 360

Text #12

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Text #13

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Max Activating Token Index: 303

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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Max Activating Token Index: 120

Text #19

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Data Index: 281444 (C4 (Web Text))

Max Activating Token Index: 110