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

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

Neuron 873 in Layer 5

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0830. Min Act: -0.0000

Data Index: 193306 (C4 (Web Text))

Max Activating Token Index: 704

Text #1

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Max Act: 0.0870. Min Act: -0.0000

Data Index: 1535134 (Python Code)

Max Activating Token Index: 103

Text #2

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Data Index: 849924 (C4 (Web Text))

Max Activating Token Index: 775

Text #3

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Max Act: 0.0773. Min Act: -0.0000

Data Index: 600892 (C4 (Web Text))

Max Activating Token Index: 859

Text #4

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Data Index: 1195600 (C4 (Web Text))

Max Activating Token Index: 965

Text #5

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Data Index: 489786 (C4 (Web Text))

Max Activating Token Index: 741

Text #6

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Max Activating Token Index: 823

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 562

Text #10

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Max Activating Token Index: 770

Text #11

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Data Index: 134725 (C4 (Web Text))

Max Activating Token Index: 171

Text #12

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Data Index: 486230 (C4 (Web Text))

Max Activating Token Index: 1002

Text #13

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Data Index: 1547878 (Python Code)

Max Activating Token Index: 36

Text #14

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Data Index: 800183 (C4 (Web Text))

Max Activating Token Index: 534

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 350010 (C4 (Web Text))

Max Activating Token Index: 120

Text #19

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Data Index: 1175454 (C4 (Web Text))

Max Activating Token Index: 776