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

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

Neuron 116 in Layer 1

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

Text #0

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1488624 (Python Code)

Max Activating Token Index: 614

Text #1

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 1509509 (Python Code)

Max Activating Token Index: 629

Text #2

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Max Act: 0.0214. Min Act: -0.0006

Data Index: 1628396 (Python Code)

Max Activating Token Index: 566

Text #3

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Max Act: 0.0215. Min Act: -0.0005

Data Index: 1509489 (Python Code)

Max Activating Token Index: 704

Text #4

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Max Act: 0.0212. Min Act: -0.0006

Data Index: 1562103 (Python Code)

Max Activating Token Index: 432

Text #5

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Max Act: 0.0222. Min Act: -0.0006

Data Index: 1643003 (Python Code)

Max Activating Token Index: 675

Text #6

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Data Index: 1373137 (Python Code)

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Text #7

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Data Index: 1637094 (Python Code)

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Text #8

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Data Index: 1394471 (Python Code)

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Text #9

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Data Index: 1370146 (Python Code)

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Text #10

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Data Index: 1440473 (Python Code)

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Text #11

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Data Index: 1426536 (Python Code)

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Text #12

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Data Index: 1593441 (Python Code)

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Text #13

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Data Index: 1444328 (Python Code)

Max Activating Token Index: 752

Text #14

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Data Index: 1637701 (Python Code)

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Text #15

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Data Index: 1625454 (Python Code)

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Text #16

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Data Index: 1598860 (Python Code)

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Text #17

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Data Index: 1425786 (Python Code)

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Text #18

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Data Index: 1535465 (Python Code)

Max Activating Token Index: 389

Text #19

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Data Index: 1535440 (Python Code)

Max Activating Token Index: 434