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

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

Neuron 4384 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0710. Min Act: -0.0002

Data Index: 1319807 (C4 (Web Text))

Max Activating Token Index: 726

Text #1

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Max Activating Token Index: 475

Text #2

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Max Act: 0.0547. Min Act: -0.0002

Data Index: 682633 (C4 (Web Text))

Max Activating Token Index: 959

Text #3

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Max Act: 0.0616. Min Act: -0.0002

Data Index: 514622 (C4 (Web Text))

Max Activating Token Index: 415

Text #4

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Data Index: 1138795 (C4 (Web Text))

Max Activating Token Index: 21

Text #5

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Max Activating Token Index: 782

Text #6

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Max Activating Token Index: 130

Text #7

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Max Activating Token Index: 134

Text #8

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Max Activating Token Index: 530

Text #9

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Max Activating Token Index: 499

Text #10

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Data Index: 732043 (C4 (Web Text))

Max Activating Token Index: 530

Text #11

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Data Index: 437400 (C4 (Web Text))

Max Activating Token Index: 176

Text #12

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Max Activating Token Index: 717

Text #13

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Max Activating Token Index: 13

Text #14

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Max Activating Token Index: 466

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 68

Text #18

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Text #19

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Data Index: 243711 (C4 (Web Text))

Max Activating Token Index: 564