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

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

Neuron 336 in Layer 9

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

Text #0

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Max Act: 0.4415. Min Act: -0.0000

Data Index: 1454017 (Python Code)

Max Activating Token Index: 6

Text #1

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Data Index: 1592132 (Python Code)

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Text #2

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Data Index: 1633595 (Python Code)

Max Activating Token Index: 6

Text #3

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Max Act: 0.4193. Min Act: -0.0000

Data Index: 325574 (C4 (Web Text))

Max Activating Token Index: 655

Text #4

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Data Index: 848288 (C4 (Web Text))

Max Activating Token Index: 568

Text #5

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Data Index: 1557416 (Python Code)

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Text #6

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Data Index: 1019692 (C4 (Web Text))

Max Activating Token Index: 185

Text #7

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Data Index: 1594767 (Python Code)

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Text #8

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Data Index: 1453492 (Python Code)

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Text #9

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Max Activating Token Index: 839

Text #10

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Data Index: 615014 (C4 (Web Text))

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Text #11

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Data Index: 1567530 (Python Code)

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Text #12

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Text #13

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Data Index: 1445184 (Python Code)

Max Activating Token Index: 9

Text #14

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Data Index: 496690 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1613468 (Python Code)

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Text #18

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Data Index: 841663 (C4 (Web Text))

Max Activating Token Index: 755

Text #19

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Data Index: 797740 (C4 (Web Text))

Max Activating Token Index: 906