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

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

Neuron 1832 in Layer 0

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

Text #0

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1442234 (Python Code)

Max Activating Token Index: 889

Text #1

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1564075 (Python Code)

Max Activating Token Index: 181

Text #2

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 1617143 (Python Code)

Max Activating Token Index: 12

Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1555841 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 1370834 (Python Code)

Max Activating Token Index: 511

Text #5

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Data Index: 1486985 (Python Code)

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Text #6

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Data Index: 1566895 (Python Code)

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Text #7

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Data Index: 1495324 (Python Code)

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Text #8

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Data Index: 1391570 (Python Code)

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Text #9

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Data Index: 1518196 (Python Code)

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Text #10

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Data Index: 1583525 (Python Code)

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Text #11

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Data Index: 1588902 (Python Code)

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Text #12

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Data Index: 1519143 (Python Code)

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Text #13

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Data Index: 1529572 (Python Code)

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Text #14

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Data Index: 1611526 (Python Code)

Max Activating Token Index: 1000

Text #15

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Data Index: 1509614 (Python Code)

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Text #16

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Data Index: 1359883 (Python Code)

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Text #17

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Data Index: 1601825 (Python Code)

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Text #18

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Data Index: 1376999 (Python Code)

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Text #19

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Data Index: 1534720 (Python Code)

Max Activating Token Index: 1013