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

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

Neuron 1898 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Max Act: 3.2775. Min Act: -0.1700

Data Index: 20505 (C4 (Web Text))

Max Activating Token Index: 897

Text #1

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Data Index: 866801 (C4 (Web Text))

Max Activating Token Index: 776

Text #2

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Max Act: 3.2303. Min Act: -0.1700

Data Index: 1508928 (Python Code)

Max Activating Token Index: 879

Text #3

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Max Act: 3.2146. Min Act: -0.1700

Data Index: 812921 (C4 (Web Text))

Max Activating Token Index: 837

Text #4

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Max Act: 3.1989. Min Act: -0.1700

Data Index: 597309 (C4 (Web Text))

Max Activating Token Index: 547

Text #5

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Max Act: 3.1989. Min Act: -0.1700

Data Index: 253153 (C4 (Web Text))

Max Activating Token Index: 943

Text #6

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Data Index: 703046 (C4 (Web Text))

Max Activating Token Index: 185

Text #7

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Data Index: 199000 (C4 (Web Text))

Max Activating Token Index: 835

Text #8

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Max Activating Token Index: 892

Text #9

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Max Activating Token Index: 627

Text #10

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Max Activating Token Index: 392

Text #11

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Max Activating Token Index: 440

Text #12

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Data Index: 1331223 (C4 (Web Text))

Max Activating Token Index: 848

Text #13

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Data Index: 1265699 (C4 (Web Text))

Max Activating Token Index: 677

Text #14

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Data Index: 680002 (C4 (Web Text))

Max Activating Token Index: 583

Text #15

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Max Activating Token Index: 534

Text #16

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Max Activating Token Index: 893

Text #17

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Max Activating Token Index: 922

Text #18

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Max Activating Token Index: 463

Text #19

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Max Act: 3.1359. Min Act: -0.1700

Data Index: 1145258 (C4 (Web Text))

Max Activating Token Index: 849