Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1824 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 743797 (C4 (Web Text))

Max Activating Token Index: 233

Text #1

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Max Activating Token Index: 344

Text #2

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Max Act: 0.0384. Min Act: -0.0003

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Max Activating Token Index: 367

Text #3

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 526000 (C4 (Web Text))

Max Activating Token Index: 378

Text #4

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Max Activating Token Index: 418

Text #5

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Max Activating Token Index: 244

Text #6

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Text #7

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Text #10

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Max Activating Token Index: 704

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Max Activating Token Index: 1007

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: 1139389 (C4 (Web Text))

Max Activating Token Index: 51