Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 344 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0873. Min Act: -0.0003

Data Index: 1625425 (Python Code)

Max Activating Token Index: 191

Text #1

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Max Act: 0.0814. Min Act: -0.0003

Data Index: 133317 (C4 (Web Text))

Max Activating Token Index: 482

Text #2

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Max Act: 0.0773. Min Act: -0.0003

Data Index: 1437905 (Python Code)

Max Activating Token Index: 47

Text #3

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Max Act: 0.0781. Min Act: -0.0003

Data Index: 1550343 (Python Code)

Max Activating Token Index: 261

Text #4

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Max Act: 0.0772. Min Act: -0.0003

Data Index: 1502308 (Python Code)

Max Activating Token Index: 187

Text #5

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Max Act: 0.0775. Min Act: -0.0003

Data Index: 1427830 (Python Code)

Max Activating Token Index: 205

Text #6

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Data Index: 1459742 (Python Code)

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Text #7

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Data Index: 1531111 (Python Code)

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Text #8

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Max Activating Token Index: 953

Text #9

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Data Index: 1392895 (Python Code)

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Text #10

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Data Index: 1414663 (Python Code)

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Text #11

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Data Index: 1038543 (C4 (Web Text))

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Text #12

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Data Index: 1398050 (Python Code)

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Text #13

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Data Index: 1419464 (Python Code)

Max Activating Token Index: 300

Text #14

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Data Index: 1589770 (Python Code)

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Text #15

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Data Index: 395815 (C4 (Web Text))

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Text #16

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Data Index: 1485563 (Python Code)

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Text #17

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Data Index: 1649941 (Python Code)

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Text #18

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Data Index: 200940 (C4 (Web Text))

Max Activating Token Index: 996

Text #19

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Max Act: 0.0640. Min Act: -0.0003

Data Index: 1593786 (Python Code)

Max Activating Token Index: 298