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

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

Neuron 1134 in Layer 2

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

Text #0

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Max Act: 0.0488. Min Act: -0.0003

Data Index: 1524837 (Python Code)

Max Activating Token Index: 874

Text #1

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Max Act: 0.0488. Min Act: -0.0003

Data Index: 1394709 (Python Code)

Max Activating Token Index: 479

Text #2

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Max Act: 0.0471. Min Act: -0.0003

Data Index: 1391760 (Python Code)

Max Activating Token Index: 1005

Text #3

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Max Act: 0.0466. Min Act: -0.0003

Data Index: 1426691 (Python Code)

Max Activating Token Index: 523

Text #4

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Max Act: 0.0477. Min Act: -0.0003

Data Index: 1397769 (Python Code)

Max Activating Token Index: 450

Text #5

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Data Index: 1393012 (Python Code)

Max Activating Token Index: 577

Text #6

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Data Index: 1365189 (Python Code)

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Text #7

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Data Index: 1423221 (Python Code)

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Text #8

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Data Index: 1431388 (Python Code)

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Text #9

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Data Index: 1403002 (Python Code)

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Text #10

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Data Index: 1570319 (Python Code)

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Text #11

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Data Index: 1228150 (C4 (Web Text))

Max Activating Token Index: 1005

Text #12

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Data Index: 1650265 (Python Code)

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Text #13

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Data Index: 1408914 (Python Code)

Max Activating Token Index: 314

Text #14

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Data Index: 1581183 (Python Code)

Max Activating Token Index: 462

Text #15

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Data Index: 1647787 (Python Code)

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Text #16

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Data Index: 1638961 (Python Code)

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Text #17

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Data Index: 524014 (C4 (Web Text))

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Text #18

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Data Index: 1573576 (Python Code)

Max Activating Token Index: 446

Text #19

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Data Index: 1496658 (Python Code)

Max Activating Token Index: 357