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

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

Neuron 1010 in Layer 1

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

Text #0

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Data Index: 1165106 (C4 (Web Text))

Max Activating Token Index: 562

Text #1

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Max Activating Token Index: 971

Text #2

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Max Activating Token Index: 328

Text #3

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Data Index: 623513 (C4 (Web Text))

Max Activating Token Index: 40

Text #4

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Data Index: 531541 (C4 (Web Text))

Max Activating Token Index: 467

Text #5

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Max Activating Token Index: 833

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 798

Text #9

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Max Activating Token Index: 453

Text #10

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Max Activating Token Index: 462

Text #11

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Max Activating Token Index: 740

Text #12

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Max Activating Token Index: 495

Text #13

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Max Activating Token Index: 669

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: 338

Text #18

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Max Activating Token Index: 741

Text #19

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Data Index: 32833 (C4 (Web Text))

Max Activating Token Index: 542