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

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

Neuron 706 in Layer 0

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

Text #0

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Max Act: 0.0466. Min Act: -0.0004

Data Index: 1110590 (C4 (Web Text))

Max Activating Token Index: 70

Text #1

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Max Act: 0.0481. Min Act: -0.0004

Data Index: 40080 (C4 (Web Text))

Max Activating Token Index: 601

Text #2

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Max Act: 0.0470. Min Act: -0.0005

Data Index: 1049302 (C4 (Web Text))

Max Activating Token Index: 237

Text #3

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Max Act: 0.0460. Min Act: -0.0005

Data Index: 477309 (C4 (Web Text))

Max Activating Token Index: 1018

Text #4

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Max Act: 0.0457. Min Act: -0.0004

Data Index: 340410 (C4 (Web Text))

Max Activating Token Index: 54

Text #5

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Data Index: 1126926 (C4 (Web Text))

Max Activating Token Index: 99

Text #6

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Data Index: 400935 (C4 (Web Text))

Max Activating Token Index: 191

Text #7

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Max Activating Token Index: 612

Text #8

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Data Index: 34032 (C4 (Web Text))

Max Activating Token Index: 419

Text #9

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Data Index: 284334 (C4 (Web Text))

Max Activating Token Index: 42

Text #10

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Max Activating Token Index: 673

Text #11

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Max Activating Token Index: 862

Text #12

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Data Index: 135529 (C4 (Web Text))

Max Activating Token Index: 337

Text #13

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Data Index: 417508 (C4 (Web Text))

Max Activating Token Index: 386

Text #14

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Max Activating Token Index: 643

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 628

Text #18

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Data Index: 125085 (C4 (Web Text))

Max Activating Token Index: 720

Text #19

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Data Index: 144319 (C4 (Web Text))

Max Activating Token Index: 958