Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 753 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 1522319 (Python Code)

Max Activating Token Index: 807

Text #1

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Max Act: 0.0281. Min Act: -0.0002

Data Index: 1404483 (Python Code)

Max Activating Token Index: 735

Text #2

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 67129 (C4 (Web Text))

Max Activating Token Index: 862

Text #3

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Max Act: 0.0273. Min Act: -0.0002

Data Index: 1617884 (Python Code)

Max Activating Token Index: 437

Text #4

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Max Act: 0.0271. Min Act: -0.0003

Data Index: 1500926 (Python Code)

Max Activating Token Index: 554

Text #5

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Max Act: 0.0266. Min Act: -0.0001

Data Index: 385545 (C4 (Web Text))

Max Activating Token Index: 853

Text #6

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Max Act: 0.0267. Min Act: -0.0003

Data Index: 1620206 (Python Code)

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Text #7

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 1452371 (Python Code)

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Text #8

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Data Index: 1626256 (Python Code)

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Text #9

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Max Act: 0.0251. Min Act: -0.0002

Data Index: 1564061 (Python Code)

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Text #10

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Data Index: 1448673 (Python Code)

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Text #11

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 795654 (C4 (Web Text))

Max Activating Token Index: 77

Text #12

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Data Index: 1499809 (Python Code)

Max Activating Token Index: 510

Text #13

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 1354891 (C4 (Web Text))

Max Activating Token Index: 476

Text #14

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Data Index: 1649781 (Python Code)

Max Activating Token Index: 428

Text #15

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Data Index: 280225 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 207933 (C4 (Web Text))

Max Activating Token Index: 217

Text #18

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 40554 (C4 (Web Text))

Max Activating Token Index: 754

Text #19

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Max Act: 0.0234. Min Act: -0.0002

Data Index: 1393852 (Python Code)

Max Activating Token Index: 228