Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1578 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0564. Min Act: -0.0004

Data Index: 203270 (C4 (Web Text))

Max Activating Token Index: 720

Text #1

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Max Act: 0.0479. Min Act: -0.0004

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Max Activating Token Index: 247

Text #2

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Max Act: 0.0431. Min Act: -0.0004

Data Index: 266673 (C4 (Web Text))

Max Activating Token Index: 838

Text #3

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Max Act: 0.0414. Min Act: -0.0004

Data Index: 517351 (C4 (Web Text))

Max Activating Token Index: 730

Text #4

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Max Act: 0.0421. Min Act: -0.0004

Data Index: 144887 (C4 (Web Text))

Max Activating Token Index: 324

Text #5

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Max Activating Token Index: 97

Text #6

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Max Activating Token Index: 685

Text #7

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Max Activating Token Index: 801

Text #8

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Text #9

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Max Activating Token Index: 43

Text #10

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Max Activating Token Index: 646

Text #11

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Max Activating Token Index: 655

Text #12

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Max Activating Token Index: 777

Text #13

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Max Activating Token Index: 918

Text #14

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Max Activating Token Index: 749

Text #15

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Max Activating Token Index: 548

Text #16

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Text #17

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Max Activating Token Index: 819

Text #18

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Max Activating Token Index: 958

Text #19

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Data Index: 720498 (C4 (Web Text))

Max Activating Token Index: 770