Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 776 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')

Text #0

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Max Act: 3.3791. Min Act: -0.1700

Data Index: 1189357 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Max Activating Token Index: 505

Text #2

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Max Act: 3.3634. Min Act: -0.1700

Data Index: 1304270 (C4 (Web Text))

Max Activating Token Index: 543

Text #3

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Max Act: 3.3320. Min Act: -0.1700

Data Index: 906507 (C4 (Web Text))

Max Activating Token Index: 396

Text #4

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Data Index: 155994 (C4 (Web Text))

Max Activating Token Index: 977

Text #5

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Data Index: 251361 (C4 (Web Text))

Max Activating Token Index: 670

Text #6

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Data Index: 679721 (C4 (Web Text))

Max Activating Token Index: 439

Text #7

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Data Index: 487979 (C4 (Web Text))

Max Activating Token Index: 597

Text #8

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Data Index: 131582 (C4 (Web Text))

Max Activating Token Index: 609

Text #9

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Data Index: 122551 (C4 (Web Text))

Max Activating Token Index: 823

Text #10

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Data Index: 783377 (C4 (Web Text))

Max Activating Token Index: 750

Text #11

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Data Index: 1010756 (C4 (Web Text))

Max Activating Token Index: 142

Text #12

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Data Index: 1035483 (C4 (Web Text))

Max Activating Token Index: 678

Text #13

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Data Index: 135077 (C4 (Web Text))

Max Activating Token Index: 612

Text #14

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Max Activating Token Index: 133

Text #15

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Max Activating Token Index: 813

Text #16

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Max Activating Token Index: 529

Text #17

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Max Activating Token Index: 44

Text #18

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Data Index: 797107 (C4 (Web Text))

Max Activating Token Index: 19

Text #19

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Max Act: 3.2535. Min Act: -0.1700

Data Index: 636161 (C4 (Web Text))

Max Activating Token Index: 229