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

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

Neuron 369 in Layer 0

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

Text #0

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Max Act: 0.0124. Min Act: -0.0004

Data Index: 1421588 (Python Code)

Max Activating Token Index: 818

Text #1

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Max Act: 0.0086. Min Act: -0.0004

Data Index: 1497881 (Python Code)

Max Activating Token Index: 988

Text #2

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Max Act: 0.0082. Min Act: -0.0004

Data Index: 426015 (C4 (Web Text))

Max Activating Token Index: 940

Text #3

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Max Act: 0.0077. Min Act: -0.0003

Data Index: 1643548 (Python Code)

Max Activating Token Index: 941

Text #4

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Data Index: 1467808 (Python Code)

Max Activating Token Index: 943

Text #5

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Data Index: 919090 (C4 (Web Text))

Max Activating Token Index: 952

Text #6

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Data Index: 1647089 (Python Code)

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Text #7

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Max Activating Token Index: 622

Text #8

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Data Index: 1375545 (Python Code)

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Text #9

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Data Index: 423106 (C4 (Web Text))

Max Activating Token Index: 719

Text #10

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Data Index: 1586708 (Python Code)

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Text #11

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Text #12

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Max Activating Token Index: 973

Text #13

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Data Index: 600744 (C4 (Web Text))

Max Activating Token Index: 551

Text #14

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Data Index: 143548 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1612868 (Python Code)

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Text #18

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Data Index: 1507842 (Python Code)

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Text #19

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 1526085 (Python Code)

Max Activating Token Index: 414