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

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

Neuron 1133 in Layer 2

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

Text #0

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Max Act: 0.0696. Min Act: -0.0003

Data Index: 1643752 (Python Code)

Max Activating Token Index: 301

Text #1

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Max Act: 0.0676. Min Act: -0.0003

Data Index: 1497841 (Python Code)

Max Activating Token Index: 101

Text #2

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Max Act: 0.0630. Min Act: -0.0003

Data Index: 1429482 (Python Code)

Max Activating Token Index: 355

Text #3

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Max Act: 0.0641. Min Act: -0.0003

Data Index: 1498827 (Python Code)

Max Activating Token Index: 178

Text #4

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Max Act: 0.0611. Min Act: -0.0003

Data Index: 1505624 (Python Code)

Max Activating Token Index: 240

Text #5

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Max Act: 0.0626. Min Act: -0.0003

Data Index: 1531300 (Python Code)

Max Activating Token Index: 491

Text #6

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Data Index: 1555949 (Python Code)

Max Activating Token Index: 484

Text #7

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Data Index: 1510642 (Python Code)

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Text #8

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Data Index: 1581021 (Python Code)

Max Activating Token Index: 496

Text #9

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Data Index: 1618028 (Python Code)

Max Activating Token Index: 386

Text #10

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Data Index: 1641768 (Python Code)

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Text #11

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Data Index: 1486918 (Python Code)

Max Activating Token Index: 606

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Data Index: 1493681 (Python Code)

Max Activating Token Index: 469

Text #13

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Data Index: 1656369 (Python Code)

Max Activating Token Index: 511

Text #14

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Data Index: 1494624 (Python Code)

Max Activating Token Index: 100

Text #15

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Data Index: 1507374 (Python Code)

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Text #16

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Data Index: 1421303 (Python Code)

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Text #17

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Data Index: 1475412 (Python Code)

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Text #18

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Data Index: 1548627 (Python Code)

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Text #19

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Data Index: 1480046 (Python Code)

Max Activating Token Index: 138