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

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

Neuron 577 in Layer 0

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

Text #0

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Data Index: 332683 (C4 (Web Text))

Max Activating Token Index: 387

Text #1

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Max Activating Token Index: 224

Text #2

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Max Activating Token Index: 341

Text #3

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Data Index: 606326 (C4 (Web Text))

Max Activating Token Index: 618

Text #4

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Max Activating Token Index: 148

Text #5

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Max Activating Token Index: 7

Text #6

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Max Activating Token Index: 935

Text #7

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Text #8

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Max Activating Token Index: 165

Text #9

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Max Activating Token Index: 568

Text #10

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Text #11

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Max Activating Token Index: 72

Text #12

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Max Activating Token Index: 69

Text #13

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Max Activating Token Index: 991

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: 352

Text #18

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Max Activating Token Index: 426

Text #19

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Data Index: 186772 (C4 (Web Text))

Max Activating Token Index: 116