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

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

Neuron 1340 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: 0.0675. Min Act: -0.0002

Data Index: 1270319 (C4 (Web Text))

Max Activating Token Index: 511

Text #1

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Max Act: 0.0620. Min Act: -0.0002

Data Index: 791114 (C4 (Web Text))

Max Activating Token Index: 81

Text #2

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Max Act: 0.0656. Min Act: -0.0002

Data Index: 461399 (C4 (Web Text))

Max Activating Token Index: 988

Text #3

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Max Act: 0.0419. Min Act: -0.0002

Data Index: 1278787 (C4 (Web Text))

Max Activating Token Index: 657

Text #4

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Max Act: 0.0486. Min Act: -0.0002

Data Index: 22518 (C4 (Web Text))

Max Activating Token Index: 851

Text #5

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Max Act: 0.0490. Min Act: -0.0002

Data Index: 147142 (C4 (Web Text))

Max Activating Token Index: 168

Text #6

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Max Activating Token Index: 708

Text #7

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Max Activating Token Index: 966

Text #8

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Max Activating Token Index: 550

Text #9

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Data Index: 113710 (C4 (Web Text))

Max Activating Token Index: 590

Text #10

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Data Index: 97265 (C4 (Web Text))

Max Activating Token Index: 507

Text #11

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Max Activating Token Index: 101

Text #12

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Max Activating Token Index: 368

Text #13

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Max Activating Token Index: 110

Text #14

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Max Activating Token Index: 470

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 540

Text #18

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Data Index: 25847 (C4 (Web Text))

Max Activating Token Index: 171

Text #19

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Data Index: 118573 (C4 (Web Text))

Max Activating Token Index: 255