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

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

Neuron 674 in Layer 0

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

Text #0

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Max Act: 0.0062. Min Act: -0.0002

Data Index: 1444073 (Python Code)

Max Activating Token Index: 1000

Text #1

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Data Index: 1020115 (C4 (Web Text))

Max Activating Token Index: 1014

Text #2

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 1283362 (C4 (Web Text))

Max Activating Token Index: 954

Text #3

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Max Act: 0.0055. Min Act: -0.0002

Data Index: 1530536 (Python Code)

Max Activating Token Index: 1016

Text #4

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Data Index: 1526485 (Python Code)

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Text #5

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Max Act: 0.0054. Min Act: -0.0002

Data Index: 888655 (C4 (Web Text))

Max Activating Token Index: 1006

Text #6

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Data Index: 1590257 (Python Code)

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Text #7

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Text #8

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Data Index: 1638160 (Python Code)

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Text #9

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Data Index: 536099 (C4 (Web Text))

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Text #10

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Text #11

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Data Index: 1602381 (Python Code)

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Text #12

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Data Index: 480018 (C4 (Web Text))

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Text #13

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Data Index: 1576261 (Python Code)

Max Activating Token Index: 1013

Text #14

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Data Index: 1144201 (C4 (Web Text))

Max Activating Token Index: 1004

Text #15

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Text #16

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Text #17

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Data Index: 1523091 (Python Code)

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Text #18

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Data Index: 97979 (C4 (Web Text))

Max Activating Token Index: 1012

Text #19

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Max Act: 0.0048. Min Act: -0.0001

Data Index: 1402719 (Python Code)

Max Activating Token Index: 1013