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

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

Neuron 3903 in Layer 0

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

Text #0

Max Range: 0.0553. Min Range: -0.0553

Max Act: 0.0553. Min Act: -0.0002

Data Index: 1432906 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0491. Min Act: -0.0002

Data Index: 1536148 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0477. Min Act: -0.0002

Data Index: 1472412 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0473. Min Act: -0.0002

Data Index: 1628485 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0473. Min Act: -0.0002

Data Index: 1567939 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 1469451 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1470091 (Python Code)

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Text #7

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Data Index: 1393992 (Python Code)

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Text #8

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Data Index: 1421031 (Python Code)

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Text #9

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Data Index: 1559115 (Python Code)

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Text #10

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Data Index: 1411588 (Python Code)

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Text #11

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Data Index: 1633196 (Python Code)

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Text #12

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Data Index: 1525579 (Python Code)

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Text #13

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Data Index: 1573842 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1549163 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1392836 (Python Code)

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Text #16

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Data Index: 1405287 (Python Code)

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Text #17

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Data Index: 1574638 (Python Code)

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Text #18

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Data Index: 1438851 (Python Code)

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Text #19

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Data Index: 1441401 (Python Code)

Max Activating Token Index: 1023