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

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

Neuron 854 in Layer 1

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

Text #0

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 1294054 (C4 (Web Text))

Max Activating Token Index: 1022

Text #1

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1426227 (Python Code)

Max Activating Token Index: 932

Text #2

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 1454824 (Python Code)

Max Activating Token Index: 147

Text #3

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 1430754 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0174. Min Act: -0.0006

Data Index: 1546044 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1392031 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1423294 (Python Code)

Max Activating Token Index: 309

Text #7

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Data Index: 1502701 (Python Code)

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Text #8

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Data Index: 1489550 (Python Code)

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Text #9

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Data Index: 1107003 (C4 (Web Text))

Max Activating Token Index: 586

Text #10

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Data Index: 1637406 (Python Code)

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Text #11

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Data Index: 75898 (C4 (Web Text))

Max Activating Token Index: 1023

Text #12

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Data Index: 1515032 (Python Code)

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Text #13

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Data Index: 1413892 (Python Code)

Max Activating Token Index: 835

Text #14

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Data Index: 1453331 (Python Code)

Max Activating Token Index: 922

Text #15

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Data Index: 1651411 (Python Code)

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Text #16

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Data Index: 1516617 (Python Code)

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Text #17

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Data Index: 1234139 (C4 (Web Text))

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Text #18

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Data Index: 1612021 (Python Code)

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Text #19

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Max Act: 0.0141. Min Act: -0.0006

Data Index: 1619528 (Python Code)

Max Activating Token Index: 907