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

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

Neuron 4192 in Layer 9

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

Text #0

Max Range: 1.0486. Min Range: -1.0486

Max Act: 1.0486. Min Act: -0.0000

Data Index: 1422820 (Python Code)

Max Activating Token Index: 331

Text #1

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Data Index: 1625297 (Python Code)

Max Activating Token Index: 422

Text #2

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Max Act: 0.8890. Min Act: -0.0000

Data Index: 1458139 (Python Code)

Max Activating Token Index: 650

Text #3

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Max Act: 0.8801. Min Act: -0.0000

Data Index: 1583461 (Python Code)

Max Activating Token Index: 645

Text #4

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Max Act: 0.8981. Min Act: -0.0000

Data Index: 1598571 (Python Code)

Max Activating Token Index: 114

Text #5

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Data Index: 1478736 (Python Code)

Max Activating Token Index: 353

Text #6

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Data Index: 1644743 (Python Code)

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Text #7

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Data Index: 1648829 (Python Code)

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Text #8

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Data Index: 1614310 (Python Code)

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Text #9

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Data Index: 1646338 (Python Code)

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Text #10

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Data Index: 1500501 (Python Code)

Max Activating Token Index: 174

Text #11

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Data Index: 1456647 (Python Code)

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Text #12

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Data Index: 1605048 (Python Code)

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Text #13

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Data Index: 1621104 (Python Code)

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Text #14

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Data Index: 1392828 (Python Code)

Max Activating Token Index: 485

Text #15

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Data Index: 1541710 (Python Code)

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Text #16

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Data Index: 1392438 (Python Code)

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Text #17

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Data Index: 1575529 (Python Code)

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Text #18

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Data Index: 1486603 (Python Code)

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Text #19

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Data Index: 1581190 (Python Code)

Max Activating Token Index: 154