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

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

Neuron 1925 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0374. Min Act: -0.0006

Data Index: 87866 (C4 (Web Text))

Max Activating Token Index: 998

Text #1

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Max Activating Token Index: 950

Text #2

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Max Activating Token Index: 1004

Text #3

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Max Act: 0.0383. Min Act: -0.0006

Data Index: 356830 (C4 (Web Text))

Max Activating Token Index: 472

Text #4

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Max Activating Token Index: 994

Text #5

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Max Activating Token Index: 28

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 35

Text #9

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Max Activating Token Index: 89

Text #10

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Max Activating Token Index: 853

Text #11

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Max Activating Token Index: 1014

Text #12

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Max Activating Token Index: 54

Text #13

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Max Activating Token Index: 684

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 495

Text #17

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Max Activating Token Index: 81

Text #18

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Text #19

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Data Index: 189923 (C4 (Web Text))

Max Activating Token Index: 751