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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3046 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0933. Min Act: -0.0003

Data Index: 1433874 (Python Code)

Max Activating Token Index: 985

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Text #1

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Max Act: 0.0886. Min Act: -0.0003

Data Index: 1451800 (Python Code)

Max Activating Token Index: 976

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Text #2

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Max Act: 0.0758. Min Act: -0.0003

Data Index: 1468395 (Python Code)

Max Activating Token Index: 941

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Text #3

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Max Act: 0.0782. Min Act: -0.0003

Data Index: 1574022 (Python Code)

Max Activating Token Index: 987

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Text #4

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Max Act: 0.0726. Min Act: -0.0003

Data Index: 1644393 (Python Code)

Max Activating Token Index: 880

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Text #5

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Data Index: 1618178 (Python Code)

Max Activating Token Index: 984

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Text #6

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Data Index: 1456520 (Python Code)

Max Activating Token Index: 1011

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Text #7

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Data Index: 1367300 (Python Code)

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Text #8

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Data Index: 1434317 (Python Code)

Max Activating Token Index: 988

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Text #9

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Max Act: 0.0595. Min Act: -0.0003

Data Index: 1043020 (C4 (Web Text))

Max Activating Token Index: 996

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Text #10

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Data Index: 1494437 (Python Code)

Max Activating Token Index: 1016

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Text #11

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Data Index: 1556313 (Python Code)

Max Activating Token Index: 1017

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Text #12

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Data Index: 1263990 (C4 (Web Text))

Max Activating Token Index: 1014

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Text #13

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Data Index: 1547227 (Python Code)

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Text #14

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Data Index: 1454119 (Python Code)

Max Activating Token Index: 976

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Text #15

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Data Index: 1575975 (Python Code)

Max Activating Token Index: 798

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Text #16

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Data Index: 1652140 (Python Code)

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Text #17

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Data Index: 1467871 (Python Code)

Max Activating Token Index: 1007

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Text #18

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Data Index: 1598032 (Python Code)

Max Activating Token Index: 992

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Text #19

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Max Act: 0.0489. Min Act: -0.0003

Data Index: 1614894 (Python Code)

Max Activating Token Index: 973

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