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

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

Neuron 1693 in Layer 2

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

Text #0

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Data Index: 1342383 (C4 (Web Text))

Max Activating Token Index: 484

Text #1

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Max Activating Token Index: 272

Text #2

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 1148164 (C4 (Web Text))

Max Activating Token Index: 917

Text #3

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Max Act: 0.0566. Min Act: -0.0004

Data Index: 531812 (C4 (Web Text))

Max Activating Token Index: 900

Text #4

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Data Index: 595299 (C4 (Web Text))

Max Activating Token Index: 367

Text #5

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Data Index: 100772 (C4 (Web Text))

Max Activating Token Index: 490

Text #6

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Max Activating Token Index: 568

Text #7

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Max Activating Token Index: 986

Text #8

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Max Activating Token Index: 406

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 304

Text #12

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Text #13

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Max Activating Token Index: 597

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 823935 (C4 (Web Text))

Max Activating Token Index: 870