Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4998 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.6801. Min Range: -0.6801

Max Act: 0.6801. Min Act: -0.0002

Data Index: 1389852 (Python Code)

Max Activating Token Index: 295

Text #1

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Max Act: 0.6140. Min Act: -0.0002

Data Index: 1624062 (Python Code)

Max Activating Token Index: 80

Text #2

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Max Act: 0.6549. Min Act: -0.0002

Data Index: 1580121 (Python Code)

Max Activating Token Index: 168

Text #3

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Max Act: 0.6600. Min Act: -0.0002

Data Index: 1449641 (Python Code)

Max Activating Token Index: 820

Text #4

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Max Act: 0.5240. Min Act: -0.0002

Data Index: 1619700 (Python Code)

Max Activating Token Index: 250

Text #5

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Max Act: 0.6104. Min Act: -0.0002

Data Index: 1439359 (Python Code)

Max Activating Token Index: 421

Text #6

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Max Act: 0.5917. Min Act: -0.0002

Data Index: 1616146 (Python Code)

Max Activating Token Index: 95

Text #7

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Data Index: 1578803 (Python Code)

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Text #8

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Data Index: 1643579 (Python Code)

Max Activating Token Index: 634

Text #9

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Data Index: 1468129 (Python Code)

Max Activating Token Index: 414

Text #10

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Data Index: 1592661 (Python Code)

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Text #11

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Data Index: 1389668 (Python Code)

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Text #12

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Data Index: 1655448 (Python Code)

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Text #13

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Max Act: 0.5520. Min Act: -0.0002

Data Index: 1651158 (Python Code)

Max Activating Token Index: 501

Text #14

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Data Index: 1436128 (Python Code)

Max Activating Token Index: 736

Text #15

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Data Index: 1651778 (Python Code)

Max Activating Token Index: 222

Text #16

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Data Index: 1405593 (Python Code)

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Text #17

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Data Index: 1593153 (Python Code)

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Text #18

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Data Index: 1589555 (Python Code)

Max Activating Token Index: 454

Text #19

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Max Act: 0.5427. Min Act: -0.0002

Data Index: 1539842 (Python Code)

Max Activating Token Index: 81