Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 612 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0007. Min Act: -0.0003

Data Index: 623252 (C4 (Web Text))

Max Activating Token Index: 905

Text #1

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Data Index: 369297 (C4 (Web Text))

Max Activating Token Index: 812

Text #2

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Data Index: 490235 (C4 (Web Text))

Max Activating Token Index: 863

Text #3

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Max Act: 0.0007. Min Act: -0.0004

Data Index: 428243 (C4 (Web Text))

Max Activating Token Index: 789

Text #4

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Data Index: 810766 (C4 (Web Text))

Max Activating Token Index: 970

Text #5

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Data Index: 434009 (C4 (Web Text))

Max Activating Token Index: 934

Text #6

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Data Index: 242728 (C4 (Web Text))

Max Activating Token Index: 890

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 928

Text #10

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Text #11

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Text #12

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Data Index: 778592 (C4 (Web Text))

Max Activating Token Index: 655

Text #13

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Data Index: 135384 (C4 (Web Text))

Max Activating Token Index: 887

Text #14

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Data Index: 799589 (C4 (Web Text))

Max Activating Token Index: 880

Text #15

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Max Activating Token Index: 891

Text #16

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Text #17

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Data Index: 267697 (C4 (Web Text))

Max Activating Token Index: 850

Text #18

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Data Index: 1352911 (C4 (Web Text))

Max Activating Token Index: 720

Text #19

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Max Act: 0.0006. Min Act: -0.0003

Data Index: 491311 (C4 (Web Text))

Max Activating Token Index: 891