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

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

Neuron 1602 in Layer 1

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

Text #0

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1548727 (Python Code)

Max Activating Token Index: 499

Text #1

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1410781 (Python Code)

Max Activating Token Index: 428

Text #2

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 1562794 (Python Code)

Max Activating Token Index: 604

Text #3

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Max Act: 0.0189. Min Act: -0.0005

Data Index: 1437525 (Python Code)

Max Activating Token Index: 246

Text #4

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 1631370 (Python Code)

Max Activating Token Index: 684

Text #5

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Data Index: 1566861 (Python Code)

Max Activating Token Index: 351

Text #6

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Data Index: 1600241 (Python Code)

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Text #7

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Data Index: 1607686 (Python Code)

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Text #8

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Data Index: 1618261 (Python Code)

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Text #9

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Data Index: 1500069 (Python Code)

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Text #10

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Data Index: 1441800 (Python Code)

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Text #11

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Data Index: 1415448 (Python Code)

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Text #12

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Data Index: 1611200 (Python Code)

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Text #13

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Data Index: 1365941 (Python Code)

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Text #14

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Data Index: 1434376 (Python Code)

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Text #15

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Data Index: 1529801 (Python Code)

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Text #16

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Data Index: 1420396 (Python Code)

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Text #17

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Data Index: 1558368 (Python Code)

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Text #18

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Data Index: 1524258 (Python Code)

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Text #19

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Data Index: 1430453 (Python Code)

Max Activating Token Index: 542