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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2807 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 1125108 (C4 (Web Text))

Max Activating Token Index: 102

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Text #1

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Max Act: 0.0370. Min Act: -0.0002

Data Index: 1593066 (Python Code)

Max Activating Token Index: 917

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Text #2

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Max Act: 0.0267. Min Act: -0.0002

Data Index: 1383443 (Python Code)

Max Activating Token Index: 864

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Text #3

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 1301372 (C4 (Web Text))

Max Activating Token Index: 93

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Text #4

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1654311 (Python Code)

Max Activating Token Index: 824

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Text #5

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Data Index: 1628969 (Python Code)

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Text #6

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Data Index: 1581047 (Python Code)

Max Activating Token Index: 931

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Text #7

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Data Index: 1515900 (Python Code)

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Text #8

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Data Index: 1591522 (Python Code)

Max Activating Token Index: 1011

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Text #9

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Data Index: 1600848 (Python Code)

Max Activating Token Index: 918

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Text #10

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Data Index: 1529240 (Python Code)

Max Activating Token Index: 933

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Text #11

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Data Index: 429193 (C4 (Web Text))

Max Activating Token Index: 970

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Text #12

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Data Index: 1547799 (Python Code)

Max Activating Token Index: 982

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Data Index: 1476083 (Python Code)

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Text #14

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Data Index: 1461713 (Python Code)

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Text #15

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Data Index: 1502488 (Python Code)

Max Activating Token Index: 836

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Text #16

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Data Index: 1510618 (Python Code)

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Text #17

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Data Index: 1063939 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #18

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Data Index: 1613475 (Python Code)

Max Activating Token Index: 989

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Text #19

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 771542 (C4 (Web Text))

Max Activating Token Index: 785

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