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

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

Neuron 559 in Layer 1

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

Text #0

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Max Act: 0.0716. Min Act: -0.0006

Data Index: 410054 (C4 (Web Text))

Max Activating Token Index: 151

Text #1

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Data Index: 332580 (C4 (Web Text))

Max Activating Token Index: 485

Text #2

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Max Act: 0.0670. Min Act: -0.0006

Data Index: 702756 (C4 (Web Text))

Max Activating Token Index: 716

Text #3

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Max Act: 0.0666. Min Act: -0.0006

Data Index: 1091071 (C4 (Web Text))

Max Activating Token Index: 506

Text #4

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Data Index: 1143889 (C4 (Web Text))

Max Activating Token Index: 195

Text #5

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Max Activating Token Index: 336

Text #6

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Text #7

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Max Activating Token Index: 743

Text #8

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Max Activating Token Index: 130

Text #9

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Max Activating Token Index: 170

Text #10

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Max Activating Token Index: 395

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Max Activating Token Index: 478

Text #12

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Max Activating Token Index: 840

Text #13

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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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Data Index: 68053 (C4 (Web Text))

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Text #19

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Data Index: 1247250 (C4 (Web Text))

Max Activating Token Index: 898