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

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

Neuron 732 in Layer 1

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

Text #0

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Data Index: 1038311 (C4 (Web Text))

Max Activating Token Index: 734

Text #1

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Max Activating Token Index: 515

Text #2

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Max Activating Token Index: 666

Text #3

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Data Index: 844932 (C4 (Web Text))

Max Activating Token Index: 750

Text #4

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Max Activating Token Index: 792

Text #5

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Max Activating Token Index: 585

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 528

Text #10

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Text #11

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Max Activating Token Index: 625

Text #12

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Max Activating Token Index: 657

Text #13

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Max Activating Token Index: 422

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 946185 (C4 (Web Text))

Max Activating Token Index: 636