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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 80 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 1413927 (Python Code)

Max Activating Token Index: 460

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Text #1

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Max Act: 0.0252. Min Act: -0.0003

Data Index: 152319 (C4 (Web Text))

Max Activating Token Index: 713

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Text #2

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 1396832 (Python Code)

Max Activating Token Index: 778

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Text #3

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 1466461 (Python Code)

Max Activating Token Index: 757

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Text #4

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 1605745 (Python Code)

Max Activating Token Index: 288

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Text #5

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Data Index: 1590228 (Python Code)

Max Activating Token Index: 45

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Text #6

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Data Index: 1390570 (Python Code)

Max Activating Token Index: 664

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Text #7

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Data Index: 1525873 (Python Code)

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Text #8

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Data Index: 1471483 (Python Code)

Max Activating Token Index: 786

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Text #9

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Data Index: 1535566 (Python Code)

Max Activating Token Index: 124

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Text #10

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Data Index: 1470540 (Python Code)

Max Activating Token Index: 813

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Text #11

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Data Index: 1606150 (Python Code)

Max Activating Token Index: 918

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Text #12

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Data Index: 1625424 (Python Code)

Max Activating Token Index: 714

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Text #13

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Data Index: 1503540 (Python Code)

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Text #14

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Data Index: 1420779 (Python Code)

Max Activating Token Index: 26

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Text #15

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Data Index: 1536525 (Python Code)

Max Activating Token Index: 510

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Text #16

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Data Index: 167907 (C4 (Web Text))

Max Activating Token Index: 937

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Text #17

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Data Index: 1381792 (Python Code)

Max Activating Token Index: 108

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Text #18

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Data Index: 1488107 (Python Code)

Max Activating Token Index: 598

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Text #19

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Max Act: 0.0227. Min Act: -0.0002

Data Index: 1421200 (Python Code)

Max Activating Token Index: 799

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