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

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

Neuron 199 in Layer 0

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



Text #0

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Max Act: 2.8897. Min Act: -0.1700

Data Index: 1508592 (Python Code)

Max Activating Token Index: 365

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Text #1

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Max Act: 2.8738. Min Act: -0.1700

Data Index: 1534530 (Python Code)

Max Activating Token Index: 677

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Text #2

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Max Act: 2.8420. Min Act: -0.1700

Data Index: 223060 (C4 (Web Text))

Max Activating Token Index: 797

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Text #3

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Data Index: 1526331 (Python Code)

Max Activating Token Index: 502

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Data Index: 1525317 (Python Code)

Max Activating Token Index: 558

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Text #5

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Data Index: 1401390 (Python Code)

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Text #6

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Data Index: 1051191 (C4 (Web Text))

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Text #7

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Data Index: 1392337 (Python Code)

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Text #8

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Data Index: 1129231 (C4 (Web Text))

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Text #9

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Data Index: 1425098 (Python Code)

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Text #10

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Data Index: 1564719 (Python Code)

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Text #11

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Data Index: 1499063 (Python Code)

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Data Index: 1497607 (Python Code)

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Data Index: 1369145 (Python Code)

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Text #14

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Data Index: 1526766 (Python Code)

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Text #15

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Data Index: 1647097 (Python Code)

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Text #16

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Text #17

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Data Index: 1591437 (Python Code)

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Text #18

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Data Index: 1365778 (Python Code)

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Text #19

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Data Index: 1506795 (Python Code)

Max Activating Token Index: 557

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