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

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

Neuron 788 in Layer 2

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

Text #0

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Max Act: 0.0431. Min Act: -0.0003

Data Index: 444704 (C4 (Web Text))

Max Activating Token Index: 1006

Text #1

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Max Activating Token Index: 272

Text #2

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 940855 (C4 (Web Text))

Max Activating Token Index: 357

Text #3

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 82922 (C4 (Web Text))

Max Activating Token Index: 289

Text #4

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Data Index: 238367 (C4 (Web Text))

Max Activating Token Index: 503

Text #5

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Max Activating Token Index: 35

Text #6

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Max Activating Token Index: 274

Text #7

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Text #8

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Max Activating Token Index: 620

Text #9

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Text #10

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Text #12

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Max Activating Token Index: 695

Text #13

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Max Activating Token Index: 67

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: 1017

Text #18

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Max Activating Token Index: 298

Text #19

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Data Index: 479201 (C4 (Web Text))

Max Activating Token Index: 838