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

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

Neuron 1941 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: 0.0412. Min Act: -0.0006

Data Index: 218019 (C4 (Web Text))

Max Activating Token Index: 795

Text #1

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Max Act: 0.0416. Min Act: -0.0006

Data Index: 845594 (C4 (Web Text))

Max Activating Token Index: 745

Text #2

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Max Act: 0.0434. Min Act: -0.0006

Data Index: 794407 (C4 (Web Text))

Max Activating Token Index: 274

Text #3

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Max Act: 0.0405. Min Act: -0.0006

Data Index: 950903 (C4 (Web Text))

Max Activating Token Index: 9

Text #4

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Max Act: 0.0401. Min Act: -0.0006

Data Index: 811188 (C4 (Web Text))

Max Activating Token Index: 4

Text #5

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Max Act: 0.0399. Min Act: -0.0006

Data Index: 1112772 (C4 (Web Text))

Max Activating Token Index: 211

Text #6

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Max Act: 0.0400. Min Act: -0.0006

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Max Activating Token Index: 177

Text #7

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Data Index: 75753 (C4 (Web Text))

Max Activating Token Index: 845

Text #8

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Max Activating Token Index: 807

Text #9

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Max Activating Token Index: 302

Text #10

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Data Index: 322247 (C4 (Web Text))

Max Activating Token Index: 534

Text #11

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Data Index: 1329979 (C4 (Web Text))

Max Activating Token Index: 777

Text #12

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Max Activating Token Index: 791

Text #13

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Data Index: 405176 (C4 (Web Text))

Max Activating Token Index: 130

Text #14

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Data Index: 132788 (C4 (Web Text))

Max Activating Token Index: 440

Text #15

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Max Activating Token Index: 175

Text #16

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Text #17

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Max Activating Token Index: 972

Text #18

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Max Activating Token Index: 207

Text #19

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Data Index: 1327477 (C4 (Web Text))

Max Activating Token Index: 352