Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 511 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')

Text #0

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Max Act: 3.3575. Min Act: -0.1700

Data Index: 1230028 (C4 (Web Text))

Max Activating Token Index: 47

Text #1

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Max Activating Token Index: 293

Text #2

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Max Activating Token Index: 237

Text #3

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Data Index: 58242 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 3.2633. Min Act: -0.1700

Data Index: 1435770 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1450337 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 854726 (C4 (Web Text))

Max Activating Token Index: 139

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 562

Text #11

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Max Activating Token Index: 65

Text #12

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Max Activating Token Index: 4

Text #13

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Max Activating Token Index: 8

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 547

Text #17

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Text #18

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Max Activating Token Index: 872

Text #19

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Data Index: 186989 (C4 (Web Text))

Max Activating Token Index: 515