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

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

Neuron 1450 in Layer 2

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

Text #0

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Max Act: 0.0492. Min Act: -0.0002

Data Index: 167808 (C4 (Web Text))

Max Activating Token Index: 542

Text #1

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Max Activating Token Index: 434

Text #2

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Max Activating Token Index: 523

Text #3

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Data Index: 501910 (C4 (Web Text))

Max Activating Token Index: 277

Text #4

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Data Index: 82806 (C4 (Web Text))

Max Activating Token Index: 444

Text #5

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Max Activating Token Index: 389

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 1000

Text #9

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Text #10

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Max Activating Token Index: 764

Text #12

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Text #13

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Max Activating Token Index: 353

Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 262163 (C4 (Web Text))

Max Activating Token Index: 1005