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

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

Neuron 1593 in Layer 0

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

Text #0

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Max Act: 0.0193. Min Act: -0.0006

Data Index: 410207 (C4 (Web Text))

Max Activating Token Index: 945

Text #1

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Max Activating Token Index: 947

Text #2

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Max Act: 0.0185. Min Act: -0.0006

Data Index: 502150 (C4 (Web Text))

Max Activating Token Index: 548

Text #3

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Data Index: 1158946 (C4 (Web Text))

Max Activating Token Index: 555

Text #4

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Data Index: 572405 (C4 (Web Text))

Max Activating Token Index: 352

Text #5

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Max Activating Token Index: 553

Text #6

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Max Activating Token Index: 169

Text #7

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Text #8

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Max Activating Token Index: 777

Text #9

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Max Activating Token Index: 921

Text #10

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Data Index: 199174 (C4 (Web Text))

Max Activating Token Index: 312

Text #11

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Max Activating Token Index: 106

Text #12

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Max Activating Token Index: 568

Text #13

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Max Activating Token Index: 559

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: 467

Text #18

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Data Index: 488016 (C4 (Web Text))

Max Activating Token Index: 248

Text #19

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Data Index: 761448 (C4 (Web Text))

Max Activating Token Index: 850