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

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

Neuron 689 in Layer 2

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

Text #0

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 190848 (C4 (Web Text))

Max Activating Token Index: 281

Text #1

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Max Activating Token Index: 323

Text #2

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Max Activating Token Index: 678

Text #3

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Data Index: 1345989 (C4 (Web Text))

Max Activating Token Index: 546

Text #4

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Max Activating Token Index: 306

Text #5

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Max Activating Token Index: 830

Text #6

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Max Activating Token Index: 848

Text #7

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Text #8

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Max Activating Token Index: 59

Text #9

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Max Activating Token Index: 315

Text #10

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Max Activating Token Index: 916

Text #11

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Max Activating Token Index: 506

Text #12

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Max Activating Token Index: 210

Text #13

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Max Activating Token Index: 761

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 364

Text #18

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Text #19

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Data Index: 1017437 (C4 (Web Text))

Max Activating Token Index: 87