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

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

Neuron 452 in Layer 0

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



Text #0

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Max Act: 2.8076. Min Act: -0.1700

Data Index: 1409183 (Python Code)

Max Activating Token Index: 702

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Text #1

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Max Act: 2.8076. Min Act: -0.1700

Data Index: 1278293 (C4 (Web Text))

Max Activating Token Index: 92

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Text #2

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Max Act: 2.8076. Min Act: -0.1700

Data Index: 1531842 (Python Code)

Max Activating Token Index: 545

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Data Index: 1409126 (Python Code)

Max Activating Token Index: 379

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Data Index: 1550983 (Python Code)

Max Activating Token Index: 35

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Text #5

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Data Index: 1497356 (Python Code)

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Data Index: 1383859 (Python Code)

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Text #7

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Data Index: 1397307 (Python Code)

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Text #8

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Data Index: 1461333 (Python Code)

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Text #9

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Data Index: 1497791 (Python Code)

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Text #10

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Data Index: 1482307 (Python Code)

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Text #11

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Data Index: 1634809 (Python Code)

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Text #12

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Data Index: 929854 (C4 (Web Text))

Max Activating Token Index: 336

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Text #13

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Data Index: 1533711 (Python Code)

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Text #14

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Data Index: 1408244 (Python Code)

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Text #15

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Data Index: 1526720 (Python Code)

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Text #16

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Data Index: 1382645 (Python Code)

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Text #17

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Data Index: 1363125 (Python Code)

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Text #18

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Data Index: 1446955 (Python Code)

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Data Index: 1368335 (Python Code)

Max Activating Token Index: 546

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