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

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

Neuron 3333 in Layer 8

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



Text #0

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Max Act: 0.5123. Min Act: -0.0000

Data Index: 1247382 (C4 (Web Text))

Max Activating Token Index: 359

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Text #1

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Max Act: 0.4461. Min Act: -0.0000

Data Index: 1029301 (C4 (Web Text))

Max Activating Token Index: 999

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Text #2

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Max Act: 0.3473. Min Act: -0.0000

Data Index: 916714 (C4 (Web Text))

Max Activating Token Index: 96

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Text #3

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Max Act: 0.2659. Min Act: -0.0000

Data Index: 512753 (C4 (Web Text))

Max Activating Token Index: 710

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Truncated

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Text #4

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Max Act: 0.2429. Min Act: -0.0000

Data Index: 697802 (C4 (Web Text))

Max Activating Token Index: 665

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Text #5

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Max Act: 0.2730. Min Act: -0.0000

Data Index: 336944 (C4 (Web Text))

Max Activating Token Index: 969

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Text #6

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Data Index: 1292788 (C4 (Web Text))

Max Activating Token Index: 783

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Text #7

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Data Index: 243879 (C4 (Web Text))

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Text #8

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Max Act: 0.2511. Min Act: -0.0001

Data Index: 664142 (C4 (Web Text))

Max Activating Token Index: 239

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Text #9

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Max Act: 0.2078. Min Act: -0.0000

Data Index: 599893 (C4 (Web Text))

Max Activating Token Index: 835

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Text #10

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Data Index: 265959 (C4 (Web Text))

Max Activating Token Index: 223

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Text #11

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Data Index: 1078388 (C4 (Web Text))

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Text #12

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Data Index: 1314011 (C4 (Web Text))

Max Activating Token Index: 625

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Text #13

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Data Index: 1478416 (Python Code)

Max Activating Token Index: 979

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Text #14

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Data Index: 534161 (C4 (Web Text))

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Text #15

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Data Index: 1598646 (Python Code)

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Text #16

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Data Index: 1353868 (C4 (Web Text))

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Text #17

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Max Act: 0.2319. Min Act: -0.0000

Data Index: 328772 (C4 (Web Text))

Max Activating Token Index: 210

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Text #18

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Max Act: 0.2132. Min Act: -0.0000

Data Index: 673638 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #19

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Max Act: 0.1947. Min Act: -0.0000

Data Index: 521055 (C4 (Web Text))

Max Activating Token Index: 338

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