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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 881 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0379. Min Act: -0.0006

Data Index: 1361152 (Python Code)

Max Activating Token Index: 444

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Text #1

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Max Act: 0.0383. Min Act: -0.0006

Data Index: 1477773 (Python Code)

Max Activating Token Index: 586

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Text #2

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Max Act: 0.0380. Min Act: -0.0006

Data Index: 1451224 (Python Code)

Max Activating Token Index: 387

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Text #3

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Max Act: 0.0369. Min Act: -0.0006

Data Index: 1380509 (Python Code)

Max Activating Token Index: 347

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Text #4

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Max Act: 0.0358. Min Act: -0.0006

Data Index: 775207 (C4 (Web Text))

Max Activating Token Index: 647

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Text #5

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Data Index: 1542977 (Python Code)

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Text #6

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Data Index: 1497916 (Python Code)

Max Activating Token Index: 937

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Text #7

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Data Index: 1595521 (Python Code)

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Text #8

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Data Index: 1417386 (Python Code)

Max Activating Token Index: 658

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Text #9

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Data Index: 1597181 (Python Code)

Max Activating Token Index: 334

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Text #10

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Data Index: 1006501 (C4 (Web Text))

Max Activating Token Index: 159

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Text #11

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Data Index: 1635357 (Python Code)

Max Activating Token Index: 341

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Text #12

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Data Index: 1535253 (Python Code)

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Text #13

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Data Index: 1524372 (Python Code)

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Text #14

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Data Index: 1361793 (Python Code)

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Text #15

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Data Index: 1544784 (Python Code)

Max Activating Token Index: 59

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Text #16

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Data Index: 1625450 (Python Code)

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Text #17

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Data Index: 1548515 (Python Code)

Max Activating Token Index: 599

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Text #18

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Data Index: 1479333 (Python Code)

Max Activating Token Index: 627

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Text #19

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Data Index: 1652333 (Python Code)

Max Activating Token Index: 666

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