Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 530 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 1230066 (C4 (Web Text))

Max Activating Token Index: 949

Text #1

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Max Activating Token Index: 233

Text #2

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Max Activating Token Index: 364

Text #3

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Max Act: 0.0304. Min Act: -0.0006

Data Index: 930291 (C4 (Web Text))

Max Activating Token Index: 320

Text #4

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Data Index: 138435 (C4 (Web Text))

Max Activating Token Index: 623

Text #5

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Max Activating Token Index: 643

Text #6

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Max Activating Token Index: 379

Text #7

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Text #8

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Max Activating Token Index: 478

Text #9

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Max Activating Token Index: 56

Text #10

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Text #11

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Max Activating Token Index: 23

Text #12

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Max Activating Token Index: 521

Text #13

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Max Activating Token Index: 78

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: 431

Text #18

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Text #19

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Data Index: 1089020 (C4 (Web Text))

Max Activating Token Index: 708