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

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

Neuron 1463 in Layer 0

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

Text #0

Max Range: 0.0184. Min Range: -0.0184

Max Act: 0.0184. Min Act: -0.0005

Data Index: 1372923 (Python Code)

Max Activating Token Index: 816

Text #1

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Max Act: 0.0170. Min Act: -0.0005

Data Index: 1441008 (Python Code)

Max Activating Token Index: 816

Text #2

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Max Act: 0.0171. Min Act: -0.0006

Data Index: 1447446 (Python Code)

Max Activating Token Index: 701

Text #3

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Max Act: 0.0170. Min Act: -0.0005

Data Index: 1544315 (Python Code)

Max Activating Token Index: 971

Text #4

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Max Act: 0.0170. Min Act: -0.0005

Data Index: 1503878 (Python Code)

Max Activating Token Index: 785

Text #5

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Max Act: 0.0169. Min Act: -0.0005

Data Index: 1415251 (Python Code)

Max Activating Token Index: 901

Text #6

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Data Index: 1530462 (Python Code)

Max Activating Token Index: 736

Text #7

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Data Index: 1551531 (Python Code)

Max Activating Token Index: 913

Text #8

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Data Index: 1464600 (Python Code)

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Text #9

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Data Index: 1483217 (Python Code)

Max Activating Token Index: 894

Text #10

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Data Index: 1584082 (Python Code)

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Text #11

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Data Index: 1611346 (Python Code)

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Text #12

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Data Index: 1537792 (Python Code)

Max Activating Token Index: 704

Text #13

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 1636378 (Python Code)

Max Activating Token Index: 852

Text #14

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Data Index: 1544995 (Python Code)

Max Activating Token Index: 825

Text #15

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Data Index: 1542049 (Python Code)

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Text #16

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Data Index: 1539004 (Python Code)

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Text #17

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Data Index: 1513399 (Python Code)

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Text #18

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Data Index: 1550866 (Python Code)

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Text #19

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1575496 (Python Code)

Max Activating Token Index: 761