Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 366 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0325. Min Act: -0.0005

Data Index: 998548 (C4 (Web Text))

Max Activating Token Index: 510

Text #1

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Max Activating Token Index: 86

Text #2

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Max Act: 0.0295. Min Act: -0.0005

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Max Activating Token Index: 587

Text #3

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Max Act: 0.0262. Min Act: -0.0005

Data Index: 726667 (C4 (Web Text))

Max Activating Token Index: 444

Text #4

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Max Activating Token Index: 973

Text #5

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Max Activating Token Index: 206

Text #6

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Text #7

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Max Activating Token Index: 357

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Text #9

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Max Activating Token Index: 521

Text #10

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Text #12

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Text #13

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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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Text #19

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Data Index: 254784 (C4 (Web Text))

Max Activating Token Index: 114