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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3019 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0832. Min Act: -0.0003

Data Index: 1477895 (Python Code)

Max Activating Token Index: 7

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Text #1

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Data Index: 1383918 (Python Code)

Max Activating Token Index: 873

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Text #2

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Max Act: 0.0808. Min Act: -0.0003

Data Index: 358908 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #3

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Data Index: 450868 (C4 (Web Text))

Max Activating Token Index: 190

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Text #4

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Data Index: 1597215 (Python Code)

Max Activating Token Index: 424

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Text #5

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Data Index: 40639 (C4 (Web Text))

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Text #6

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Data Index: 1656778 (Python Code)

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Text #7

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Data Index: 544408 (C4 (Web Text))

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Text #8

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Data Index: 357421 (C4 (Web Text))

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Text #9

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Data Index: 1000141 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #10

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Data Index: 1302536 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 900601 (C4 (Web Text))

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Text #13

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Data Index: 968780 (C4 (Web Text))

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Text #14

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Data Index: 109637 (C4 (Web Text))

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Text #15

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Data Index: 199541 (C4 (Web Text))

Max Activating Token Index: 816

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Text #16

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Data Index: 1608809 (Python Code)

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Text #17

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Data Index: 1002880 (C4 (Web Text))

Max Activating Token Index: 776

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Text #18

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Max Act: 0.0760. Min Act: -0.0003

Data Index: 1305690 (C4 (Web Text))

Max Activating Token Index: 993

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Text #19

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Data Index: 739017 (C4 (Web Text))

Max Activating Token Index: 544

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