Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1860 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Max Act: 4.1455. Min Act: -0.1700

Data Index: 1419443 (Python Code)

Max Activating Token Index: 296

Text #1

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Data Index: 1625337 (Python Code)

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Text #2

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Data Index: 1434452 (Python Code)

Max Activating Token Index: 932

Text #3

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Data Index: 664107 (C4 (Web Text))

Max Activating Token Index: 717

Text #4

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Data Index: 1633340 (Python Code)

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Text #5

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Data Index: 616671 (C4 (Web Text))

Max Activating Token Index: 390

Text #6

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Data Index: 1493908 (Python Code)

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Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 133

Text #12

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Max Activating Token Index: 287

Text #13

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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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Text #19

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Data Index: 1230226 (C4 (Web Text))

Max Activating Token Index: 910