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

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

Neuron 1902 in Layer 0

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

Text #0

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Data Index: 10407 (C4 (Web Text))

Max Activating Token Index: 269

Text #1

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Text #2

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Max Activating Token Index: 510

Text #3

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Max Activating Token Index: 557

Text #4

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Max Activating Token Index: 766

Text #5

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Max Activating Token Index: 944

Text #6

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Text #7

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Max Activating Token Index: 206

Text #8

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Max Activating Token Index: 144

Text #9

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Max Activating Token Index: 779

Text #10

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Max Activating Token Index: 208

Text #11

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Max Activating Token Index: 306

Text #12

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Max Activating Token Index: 110

Text #13

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Max Activating Token Index: 76

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 80

Text #18

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Max Activating Token Index: 864

Text #19

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Data Index: 930641 (C4 (Web Text))

Max Activating Token Index: 276