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

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

Neuron 1047 in Layer 2

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

Text #0

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Max Act: 0.0291. Min Act: -0.0005

Data Index: 1270631 (C4 (Web Text))

Max Activating Token Index: 1000

Text #1

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Max Act: 0.0253. Min Act: -0.0005

Data Index: 1293320 (C4 (Web Text))

Max Activating Token Index: 1001

Text #2

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Max Act: 0.0256. Min Act: -0.0005

Data Index: 1419508 (Python Code)

Max Activating Token Index: 991

Text #3

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Max Act: 0.0245. Min Act: -0.0005

Data Index: 884177 (C4 (Web Text))

Max Activating Token Index: 945

Text #4

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Data Index: 812521 (C4 (Web Text))

Max Activating Token Index: 891

Text #5

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Data Index: 1164671 (C4 (Web Text))

Max Activating Token Index: 973

Text #6

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Data Index: 1214747 (C4 (Web Text))

Max Activating Token Index: 1005

Text #7

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Text #8

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Max Activating Token Index: 772

Text #9

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Max Activating Token Index: 975

Text #10

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Data Index: 1425888 (Python Code)

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Text #11

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Data Index: 51044 (C4 (Web Text))

Max Activating Token Index: 997

Text #12

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Max Activating Token Index: 932

Text #13

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Data Index: 598480 (C4 (Web Text))

Max Activating Token Index: 993

Text #14

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Data Index: 1543618 (Python Code)

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Text #15

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Text #16

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Max Activating Token Index: 751

Text #17

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Max Activating Token Index: 1002

Text #18

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Data Index: 1570650 (Python Code)

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Text #19

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Data Index: 1420357 (Python Code)

Max Activating Token Index: 952