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

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

Neuron 706 in Layer 1

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

Text #0

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Max Act: 0.0750. Min Act: -0.0003

Data Index: 266161 (C4 (Web Text))

Max Activating Token Index: 145

Text #1

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Max Act: 0.0695. Min Act: -0.0003

Data Index: 575450 (C4 (Web Text))

Max Activating Token Index: 836

Text #2

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Max Act: 0.0659. Min Act: -0.0003

Data Index: 488555 (C4 (Web Text))

Max Activating Token Index: 695

Text #3

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Max Act: 0.0678. Min Act: -0.0003

Data Index: 1113075 (C4 (Web Text))

Max Activating Token Index: 64

Text #4

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Data Index: 392638 (C4 (Web Text))

Max Activating Token Index: 250

Text #5

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Max Activating Token Index: 54

Text #6

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Text #9

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Max Activating Token Index: 740

Text #10

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Max Activating Token Index: 915

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Max Activating Token Index: 101

Text #12

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Text #13

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Data Index: 224396 (C4 (Web Text))

Max Activating Token Index: 883

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 239106 (C4 (Web Text))

Max Activating Token Index: 801

Text #19

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Data Index: 678403 (C4 (Web Text))

Max Activating Token Index: 563