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

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

Neuron 3689 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: 0.0735. Min Act: -0.0001

Data Index: 1158580 (C4 (Web Text))

Max Activating Token Index: 181

Text #1

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Data Index: 1650120 (Python Code)

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Text #2

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Max Activating Token Index: 435

Text #3

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Max Act: 0.0701. Min Act: -0.0000

Data Index: 1206878 (C4 (Web Text))

Max Activating Token Index: 904

Text #4

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Max Activating Token Index: 715

Text #5

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Max Activating Token Index: 1017

Text #6

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Text #7

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Data Index: 1423699 (Python Code)

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Text #8

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Max Activating Token Index: 428

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 887

Text #12

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Max Activating Token Index: 692

Text #13

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Max Activating Token Index: 609

Text #14

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Max Activating Token Index: 931

Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 823

Text #19

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Data Index: 915150 (C4 (Web Text))

Max Activating Token Index: 746