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

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

Neuron 1354 in Layer 0

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

Text #0

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Data Index: 10948 (C4 (Web Text))

Max Activating Token Index: 427

Text #1

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Data Index: 411403 (C4 (Web Text))

Max Activating Token Index: 451

Text #2

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Max Act: 0.0231. Min Act: -0.0006

Data Index: 1011314 (C4 (Web Text))

Max Activating Token Index: 499

Text #3

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Max Act: 0.0231. Min Act: -0.0006

Data Index: 1308958 (C4 (Web Text))

Max Activating Token Index: 402

Text #4

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Data Index: 425744 (C4 (Web Text))

Max Activating Token Index: 522

Text #5

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Data Index: 134392 (C4 (Web Text))

Max Activating Token Index: 653

Text #6

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Max Activating Token Index: 328

Text #7

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Text #8

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Max Activating Token Index: 655

Text #9

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Max Activating Token Index: 907

Text #10

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Max Activating Token Index: 156

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Max Activating Token Index: 859

Text #12

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Text #13

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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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Max Activating Token Index: 689

Text #18

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Max Activating Token Index: 533

Text #19

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Data Index: 16302 (C4 (Web Text))

Max Activating Token Index: 454