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

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

Neuron 1989 in Layer 3

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: 0.1270. Min Act: -0.0002

Data Index: 1323783 (C4 (Web Text))

Max Activating Token Index: 345

Text #1

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Max Act: 0.1210. Min Act: -0.0002

Data Index: 31036 (C4 (Web Text))

Max Activating Token Index: 159

Text #2

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Max Activating Token Index: 689

Text #3

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Max Act: 0.1085. Min Act: -0.0002

Data Index: 823212 (C4 (Web Text))

Max Activating Token Index: 238

Text #4

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Data Index: 1051518 (C4 (Web Text))

Max Activating Token Index: 1007

Text #5

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Max Activating Token Index: 754

Text #6

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Max Activating Token Index: 635

Text #7

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Max Activating Token Index: 177

Text #8

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Data Index: 350713 (C4 (Web Text))

Max Activating Token Index: 431

Text #9

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Max Activating Token Index: 29

Text #10

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Data Index: 378927 (C4 (Web Text))

Max Activating Token Index: 205

Text #11

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Max Activating Token Index: 629

Text #12

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Max Activating Token Index: 410

Text #13

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Data Index: 680368 (C4 (Web Text))

Max Activating Token Index: 425

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 966

Text #18

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Max Activating Token Index: 791

Text #19

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Data Index: 487891 (C4 (Web Text))

Max Activating Token Index: 868