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

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

Neuron 1290 in Layer 9

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

Text #0

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Max Act: 0.7424. Min Act: -0.0000

Data Index: 770647 (C4 (Web Text))

Max Activating Token Index: 804

Text #1

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Data Index: 1379637 (Python Code)

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Text #2

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Data Index: 994720 (C4 (Web Text))

Max Activating Token Index: 463

Text #3

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Max Act: 0.7332. Min Act: -0.0000

Data Index: 435314 (C4 (Web Text))

Max Activating Token Index: 998

Text #4

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Data Index: 727879 (C4 (Web Text))

Max Activating Token Index: 857

Text #5

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Data Index: 1032172 (C4 (Web Text))

Max Activating Token Index: 380

Text #6

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Text #9

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Max Activating Token Index: 266

Text #10

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Text #11

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Max Activating Token Index: 360

Text #12

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Max Activating Token Index: 912

Text #13

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Max Activating Token Index: 890

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 820

Text #18

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Data Index: 314981 (C4 (Web Text))

Max Activating Token Index: 630

Text #19

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Data Index: 908479 (C4 (Web Text))

Max Activating Token Index: 405