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

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

Neuron 3206 in Layer 2

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: 0.0130. Min Act: -0.0002

Data Index: 1319589 (C4 (Web Text))

Max Activating Token Index: 19

Text #1

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 385132 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 1150736 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 996473 (C4 (Web Text))

Max Activating Token Index: 531

Text #4

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 501882 (C4 (Web Text))

Max Activating Token Index: 841

Text #5

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Data Index: 931059 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 642

Text #8

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Data Index: 244937 (C4 (Web Text))

Max Activating Token Index: 294

Text #9

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Data Index: 11060 (C4 (Web Text))

Max Activating Token Index: 326

Text #10

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Max Activating Token Index: 734

Text #11

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Max Activating Token Index: 786

Text #12

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Max Activating Token Index: 967

Text #13

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Max Activating Token Index: 16

Text #14

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Data Index: 219062 (C4 (Web Text))

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Text #15

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Data Index: 1464317 (Python Code)

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Text #16

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Text #17

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Max Activating Token Index: 626

Text #18

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Max Activating Token Index: 965

Text #19

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Data Index: 590748 (C4 (Web Text))

Max Activating Token Index: 1002