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

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

Neuron 1751 in Layer 2

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

Text #0

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Max Act: 0.0653. Min Act: -0.0005

Data Index: 1120601 (C4 (Web Text))

Max Activating Token Index: 682

Text #1

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Max Act: 0.0652. Min Act: -0.0005

Data Index: 1496269 (Python Code)

Max Activating Token Index: 663

Text #2

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Max Act: 0.0635. Min Act: -0.0005

Data Index: 1431715 (Python Code)

Max Activating Token Index: 820

Text #3

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Max Act: 0.0631. Min Act: -0.0005

Data Index: 1160777 (C4 (Web Text))

Max Activating Token Index: 462

Text #4

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Data Index: 537628 (C4 (Web Text))

Max Activating Token Index: 937

Text #5

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Data Index: 1460841 (Python Code)

Max Activating Token Index: 287

Text #6

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Data Index: 1508921 (Python Code)

Max Activating Token Index: 854

Text #7

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Data Index: 602814 (C4 (Web Text))

Max Activating Token Index: 308

Text #8

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Data Index: 1481836 (Python Code)

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Text #9

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Data Index: 1422744 (Python Code)

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Text #10

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Data Index: 1470041 (Python Code)

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Text #11

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Max Activating Token Index: 307

Text #12

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Data Index: 61092 (C4 (Web Text))

Max Activating Token Index: 594

Text #13

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Data Index: 1323383 (C4 (Web Text))

Max Activating Token Index: 537

Text #14

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Data Index: 187415 (C4 (Web Text))

Max Activating Token Index: 227

Text #15

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Data Index: 1500828 (Python Code)

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Text #16

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Text #17

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Data Index: 1070186 (C4 (Web Text))

Max Activating Token Index: 87

Text #18

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Data Index: 1595325 (Python Code)

Max Activating Token Index: 894

Text #19

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Data Index: 1417820 (Python Code)

Max Activating Token Index: 646