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

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

Neuron 2203 in Layer 0

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

Text #0

Max Range: 0.0785. Min Range: -0.0785

Max Act: 0.0785. Min Act: -0.0001

Data Index: 1644294 (Python Code)

Max Activating Token Index: 16

Text #1

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Max Act: 0.0713. Min Act: -0.0001

Data Index: 1545666 (Python Code)

Max Activating Token Index: 306

Text #2

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Max Act: 0.0702. Min Act: -0.0001

Data Index: 1443375 (Python Code)

Max Activating Token Index: 16

Text #3

Max Range: 0.0785. Min Range: -0.0785

Max Act: 0.0695. Min Act: -0.0001

Data Index: 1581913 (Python Code)

Max Activating Token Index: 748

Text #4

Max Range: 0.0785. Min Range: -0.0785

Max Act: 0.0690. Min Act: -0.0002

Data Index: 1562177 (Python Code)

Max Activating Token Index: 208

Text #5

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Max Act: 0.0690. Min Act: -0.0002

Data Index: 1553089 (Python Code)

Max Activating Token Index: 539

Text #6

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Max Act: 0.0683. Min Act: -0.0001

Data Index: 1567390 (Python Code)

Max Activating Token Index: 388

Text #7

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Max Act: 0.0682. Min Act: -0.0002

Data Index: 1403663 (Python Code)

Max Activating Token Index: 216

Text #8

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Max Act: 0.0678. Min Act: -0.0001

Data Index: 1558075 (Python Code)

Max Activating Token Index: 79

Text #9

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Max Act: 0.0677. Min Act: -0.0001

Data Index: 1383885 (Python Code)

Max Activating Token Index: 344

Text #10

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Max Act: 0.0674. Min Act: -0.0001

Data Index: 1462941 (Python Code)

Max Activating Token Index: 36

Text #11

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Max Act: 0.0672. Min Act: -0.0001

Data Index: 1473927 (Python Code)

Max Activating Token Index: 356

Text #12

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Max Act: 0.0669. Min Act: -0.0001

Data Index: 1434855 (Python Code)

Max Activating Token Index: 168

Text #13

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Max Act: 0.0668. Min Act: -0.0001

Data Index: 1383683 (Python Code)

Max Activating Token Index: 341

Text #14

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Max Act: 0.0663. Min Act: -0.0001

Data Index: 1486664 (Python Code)

Max Activating Token Index: 458

Text #15

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Max Act: 0.0661. Min Act: -0.0001

Data Index: 1518697 (Python Code)

Max Activating Token Index: 15

Text #16

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Max Act: 0.0662. Min Act: -0.0001

Data Index: 1589811 (Python Code)

Max Activating Token Index: 285

Text #17

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Max Act: 0.0661. Min Act: -0.0001

Data Index: 1498329 (Python Code)

Max Activating Token Index: 236

Text #18

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Max Act: 0.0646. Min Act: -0.0001

Data Index: 1595799 (Python Code)

Max Activating Token Index: 573

Text #19

Max Range: 0.0785. Min Range: -0.0785

Max Act: 0.0645. Min Act: -0.0001

Data Index: 1453479 (Python Code)

Max Activating Token Index: 62