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

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

Neuron 355 in Layer 1

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

Text #0

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 436779 (C4 (Web Text))

Max Activating Token Index: 860

Text #1

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Data Index: 1315355 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0323. Min Act: -0.0000

Data Index: 606165 (C4 (Web Text))

Max Activating Token Index: 401

Text #3

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Data Index: 1160048 (C4 (Web Text))

Max Activating Token Index: 645

Text #4

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Data Index: 107234 (C4 (Web Text))

Max Activating Token Index: 327

Text #5

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Max Activating Token Index: 42

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 923

Text #10

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Max Activating Token Index: 327

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Text #12

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Max Activating Token Index: 244

Text #13

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Data Index: 195873 (C4 (Web Text))

Max Activating Token Index: 265

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: 66709 (C4 (Web Text))

Max Activating Token Index: 236