Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1009 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')

Text #0

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Max Act: 3.1839. Min Act: -0.1700

Data Index: 1141611 (C4 (Web Text))

Max Activating Token Index: 617

Text #1

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Max Activating Token Index: 865

Text #2

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Max Activating Token Index: 339

Text #3

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Data Index: 408964 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Max Activating Token Index: 864

Text #5

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Max Activating Token Index: 23

Text #6

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Max Activating Token Index: 26

Text #7

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Text #8

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Max Activating Token Index: 10

Text #9

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Max Activating Token Index: 10

Text #10

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Max Activating Token Index: 26

Text #11

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Data Index: 1261960 (C4 (Web Text))

Max Activating Token Index: 482

Text #12

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Max Activating Token Index: 13

Text #13

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Max Activating Token Index: 428

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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Max Activating Token Index: 26

Text #19

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Data Index: 46829 (C4 (Web Text))

Max Activating Token Index: 10