Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3192 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 1293708 (C4 (Web Text))

Max Activating Token Index: 530

Text #1

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Max Activating Token Index: 952

Text #2

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Max Activating Token Index: 250

Text #3

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Data Index: 227498 (C4 (Web Text))

Max Activating Token Index: 611

Text #4

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Data Index: 769897 (C4 (Web Text))

Max Activating Token Index: 260

Text #5

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Max Activating Token Index: 643

Text #6

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Text #7

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Max Activating Token Index: 546

Text #8

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Max Activating Token Index: 496

Text #9

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Max Activating Token Index: 790

Text #10

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Max Activating Token Index: 49

Text #11

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Max Activating Token Index: 608

Text #12

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Max Activating Token Index: 333

Text #13

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Max Activating Token Index: 583

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: 68

Text #19

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Data Index: 79774 (C4 (Web Text))

Max Activating Token Index: 838