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

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

Neuron 275 in Layer 1

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

Text #0

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Max Act: 0.0551. Min Act: -0.0002

Data Index: 560657 (C4 (Web Text))

Max Activating Token Index: 234

Text #1

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Max Act: 0.0543. Min Act: -0.0002

Data Index: 1099059 (C4 (Web Text))

Max Activating Token Index: 295

Text #2

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Max Act: 0.0523. Min Act: -0.0003

Data Index: 495545 (C4 (Web Text))

Max Activating Token Index: 878

Text #3

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Max Act: 0.0502. Min Act: -0.0003

Data Index: 606871 (C4 (Web Text))

Max Activating Token Index: 79

Text #4

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Max Act: 0.0494. Min Act: -0.0003

Data Index: 309272 (C4 (Web Text))

Max Activating Token Index: 353

Text #5

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Data Index: 791771 (C4 (Web Text))

Max Activating Token Index: 282

Text #6

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Max Activating Token Index: 691

Text #7

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Max Activating Token Index: 470

Text #8

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Data Index: 541918 (C4 (Web Text))

Max Activating Token Index: 351

Text #9

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Max Activating Token Index: 432

Text #10

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Max Activating Token Index: 550

Text #11

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Max Activating Token Index: 255

Text #12

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Max Activating Token Index: 161

Text #13

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Max Activating Token Index: 189

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: 416

Text #18

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Max Activating Token Index: 841

Text #19

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Data Index: 878312 (C4 (Web Text))

Max Activating Token Index: 641