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

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

Neuron 1125 in Layer 0

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

Text #0

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Max Act: 3.3802. Min Act: -0.1700

Data Index: 1186019 (C4 (Web Text))

Max Activating Token Index: 43

Text #1

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Data Index: 1090226 (C4 (Web Text))

Max Activating Token Index: 260

Text #2

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Data Index: 163613 (C4 (Web Text))

Max Activating Token Index: 491

Text #3

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Data Index: 1270494 (C4 (Web Text))

Max Activating Token Index: 821

Text #4

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Max Act: 3.2703. Min Act: -0.1700

Data Index: 130616 (C4 (Web Text))

Max Activating Token Index: 777

Text #5

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Data Index: 526312 (C4 (Web Text))

Max Activating Token Index: 8

Text #6

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Max Activating Token Index: 982

Text #7

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Max Activating Token Index: 90

Text #8

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Max Activating Token Index: 34

Text #9

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Max Activating Token Index: 51

Text #10

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Max Activating Token Index: 650

Text #11

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Max Activating Token Index: 919

Text #12

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Data Index: 31936 (C4 (Web Text))

Max Activating Token Index: 486

Text #13

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Data Index: 221387 (C4 (Web Text))

Max Activating Token Index: 771

Text #14

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Max Activating Token Index: 816

Text #15

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Max Activating Token Index: 590

Text #16

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Max Activating Token Index: 583

Text #17

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Max Activating Token Index: 379

Text #18

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Data Index: 1305765 (C4 (Web Text))

Max Activating Token Index: 475

Text #19

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Data Index: 10531 (C4 (Web Text))

Max Activating Token Index: 539