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

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

Neuron 287 in Layer 1

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



Text #0

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Max Act: 2.7143. Min Act: -0.1700

Data Index: 481893 (C4 (Web Text))

Max Activating Token Index: 432

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Text #1

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Data Index: 1201563 (C4 (Web Text))

Max Activating Token Index: 961

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Text #2

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Max Act: 2.6502. Min Act: -0.1700

Data Index: 1201275 (C4 (Web Text))

Max Activating Token Index: 732

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Text #3

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Data Index: 823603 (C4 (Web Text))

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Text #4

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Data Index: 223605 (C4 (Web Text))

Max Activating Token Index: 534

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Text #5

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Data Index: 769946 (C4 (Web Text))

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Text #6

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Data Index: 709140 (C4 (Web Text))

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Text #7

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Data Index: 1226313 (C4 (Web Text))

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Text #8

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Data Index: 234702 (C4 (Web Text))

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Text #9

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Data Index: 1202859 (C4 (Web Text))

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Text #10

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Data Index: 173602 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Data Index: 467973 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 159570 (C4 (Web Text))

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Text #16

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Data Index: 398244 (C4 (Web Text))

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Text #17

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Data Index: 345978 (C4 (Web Text))

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Text #18

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Data Index: 1630474 (Python Code)

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Text #19

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Data Index: 1510099 (Python Code)

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