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

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

Neuron 886 in Layer 0

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

Text #0

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Max Act: 3.3245. Min Act: -0.1700

Data Index: 943460 (C4 (Web Text))

Max Activating Token Index: 57

Text #1

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Max Activating Token Index: 602

Text #2

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Max Activating Token Index: 767

Text #3

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Data Index: 556570 (C4 (Web Text))

Max Activating Token Index: 105

Text #4

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Max Activating Token Index: 883

Text #5

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Data Index: 247528 (C4 (Web Text))

Max Activating Token Index: 902

Text #6

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Data Index: 1221435 (C4 (Web Text))

Max Activating Token Index: 840

Text #7

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Max Activating Token Index: 923

Text #8

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Max Activating Token Index: 914

Text #9

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Max Activating Token Index: 842

Text #10

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Text #11

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Max Activating Token Index: 743

Text #12

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Data Index: 465227 (C4 (Web Text))

Max Activating Token Index: 48

Text #13

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Data Index: 678713 (C4 (Web Text))

Max Activating Token Index: 417

Text #14

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Max Activating Token Index: 719

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 165200 (C4 (Web Text))

Max Activating Token Index: 198

Text #19

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Data Index: 1228797 (C4 (Web Text))

Max Activating Token Index: 303