Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 918 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.1473. Min Act: -0.0003

Data Index: 1635193 (Python Code)

Max Activating Token Index: 867

Text #1

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Max Act: 0.1048. Min Act: -0.0002

Data Index: 1533633 (Python Code)

Max Activating Token Index: 56

Text #2

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Data Index: 1524496 (Python Code)

Max Activating Token Index: 906

Text #3

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Max Act: 0.0976. Min Act: -0.0002

Data Index: 1601638 (Python Code)

Max Activating Token Index: 848

Text #4

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Max Act: 0.0996. Min Act: -0.0002

Data Index: 1390569 (Python Code)

Max Activating Token Index: 351

Text #5

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Max Act: 0.0953. Min Act: -0.0002

Data Index: 1515510 (Python Code)

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Text #6

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Data Index: 1473191 (Python Code)

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Text #7

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Data Index: 1647658 (Python Code)

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Text #8

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Data Index: 1623201 (Python Code)

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Text #9

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Data Index: 1302035 (C4 (Web Text))

Max Activating Token Index: 935

Text #10

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Data Index: 1489284 (Python Code)

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Text #11

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Data Index: 1484399 (Python Code)

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Text #12

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Data Index: 1461749 (Python Code)

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Text #13

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Data Index: 1380464 (Python Code)

Max Activating Token Index: 448

Text #14

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Data Index: 665536 (C4 (Web Text))

Max Activating Token Index: 537

Text #15

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Text #16

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Data Index: 1426403 (Python Code)

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Text #17

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Data Index: 1363379 (Python Code)

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Text #18

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Data Index: 1425558 (Python Code)

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Text #19

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Data Index: 1449954 (Python Code)

Max Activating Token Index: 813