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

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

Neuron 565 in Layer 0

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

Text #0

Max Range: 3.0330. Min Range: -3.0330

Max Act: 3.0330. Min Act: -0.1700

Data Index: 397294 (C4 (Web Text))

Max Activating Token Index: 9

Text #1

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Data Index: 1019889 (C4 (Web Text))

Max Activating Token Index: 20

Text #2

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Data Index: 733508 (C4 (Web Text))

Max Activating Token Index: 12

Text #3

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Max Act: 3.0330. Min Act: -0.1700

Data Index: 1020248 (C4 (Web Text))

Max Activating Token Index: 44

Text #4

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Max Act: 3.0014. Min Act: -0.1700

Data Index: 577470 (C4 (Web Text))

Max Activating Token Index: 81

Text #5

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Max Activating Token Index: 71

Text #6

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Max Activating Token Index: 22

Text #7

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Max Activating Token Index: 25

Text #8

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Max Activating Token Index: 17

Text #9

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Max Activating Token Index: 22

Text #10

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Text #11

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Max Activating Token Index: 9

Text #12

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Max Activating Token Index: 41

Text #13

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Max Activating Token Index: 13

Text #14

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Data Index: 397172 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 14

Text #16

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Max Activating Token Index: 9

Text #17

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Text #18

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Max Activating Token Index: 4

Text #19

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Max Act: 2.9855. Min Act: -0.1700

Data Index: 296021 (C4 (Web Text))

Max Activating Token Index: 24