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

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

Neuron 1435 in Layer 1

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



Text #0

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Max Act: 4.4368. Min Act: -0.1700

Data Index: 1434511 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 4.2493. Min Act: -0.1700

Data Index: 361273 (C4 (Web Text))

Max Activating Token Index: 264

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Text #2

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Max Act: 4.3118. Min Act: -0.1700

Data Index: 1597493 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 4.1868. Min Act: -0.1700

Data Index: 1274270 (C4 (Web Text))

Max Activating Token Index: 782

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Text #4

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Max Act: 4.2181. Min Act: -0.1700

Data Index: 522448 (C4 (Web Text))

Max Activating Token Index: 233

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Text #5

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Data Index: 1421090 (Python Code)

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Text #6

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Data Index: 58617 (C4 (Web Text))

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Text #7

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Data Index: 809914 (C4 (Web Text))

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Text #8

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Data Index: 451458 (C4 (Web Text))

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Text #9

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Data Index: 612766 (C4 (Web Text))

Max Activating Token Index: 268

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Text #10

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Data Index: 61859 (C4 (Web Text))

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Text #11

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Data Index: 740324 (C4 (Web Text))

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Text #12

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Data Index: 337128 (C4 (Web Text))

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Text #13

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Data Index: 37685 (C4 (Web Text))

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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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Data Index: 668857 (C4 (Web Text))

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Text #18

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Data Index: 1114826 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #19

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Data Index: 1239734 (C4 (Web Text))

Max Activating Token Index: 702

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