Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1716 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 1591807 (Python Code)

Max Activating Token Index: 189

Text #1

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 1231140 (C4 (Web Text))

Max Activating Token Index: 659

Text #2

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 154802 (C4 (Web Text))

Max Activating Token Index: 855

Text #3

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 851432 (C4 (Web Text))

Max Activating Token Index: 503

Text #4

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 919797 (C4 (Web Text))

Max Activating Token Index: 780

Text #5

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Max Act: 0.0322. Min Act: -0.0001

Data Index: 551456 (C4 (Web Text))

Max Activating Token Index: 220

Text #6

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Data Index: 1460839 (Python Code)

Max Activating Token Index: 382

Text #7

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Data Index: 1413682 (Python Code)

Max Activating Token Index: 445

Text #8

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Max Activating Token Index: 136

Text #9

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Text #10

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Max Activating Token Index: 871

Text #11

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Data Index: 981682 (C4 (Web Text))

Max Activating Token Index: 538

Text #12

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Max Activating Token Index: 31

Text #13

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Data Index: 569362 (C4 (Web Text))

Max Activating Token Index: 879

Text #14

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Data Index: 1655057 (Python Code)

Max Activating Token Index: 995

Text #15

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Data Index: 700062 (C4 (Web Text))

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Text #16

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Data Index: 1609706 (Python Code)

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Text #17

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Data Index: 1613781 (Python Code)

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Text #18

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Data Index: 1496968 (Python Code)

Max Activating Token Index: 880

Text #19

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 1562819 (Python Code)

Max Activating Token Index: 851