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

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

Neuron 5082 in Layer 2

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

Text #0

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Max Act: 0.0506. Min Act: -0.0002

Data Index: 1368342 (Python Code)

Max Activating Token Index: 416

Text #1

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Max Act: 0.0467. Min Act: -0.0002

Data Index: 1573746 (Python Code)

Max Activating Token Index: 779

Text #2

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Max Act: 0.0452. Min Act: -0.0002

Data Index: 1429097 (Python Code)

Max Activating Token Index: 562

Text #3

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Max Act: 0.0470. Min Act: -0.0002

Data Index: 1532419 (Python Code)

Max Activating Token Index: 690

Text #4

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Max Act: 0.0472. Min Act: -0.0002

Data Index: 1521004 (Python Code)

Max Activating Token Index: 548

Text #5

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Data Index: 1435951 (Python Code)

Max Activating Token Index: 166

Text #6

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Data Index: 1636122 (Python Code)

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Text #7

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Data Index: 1432580 (Python Code)

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Data Index: 1628156 (Python Code)

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Text #9

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Data Index: 1569482 (Python Code)

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Text #10

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Data Index: 1372947 (Python Code)

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Data Index: 1505902 (Python Code)

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Text #12

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Data Index: 1489609 (Python Code)

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Text #13

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Data Index: 1567943 (Python Code)

Max Activating Token Index: 427

Text #14

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Data Index: 1409294 (Python Code)

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Text #15

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Data Index: 1585276 (Python Code)

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Text #16

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Data Index: 964163 (C4 (Web Text))

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Text #17

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Data Index: 1654325 (Python Code)

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Text #18

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Data Index: 1529531 (Python Code)

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Text #19

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Data Index: 1532340 (Python Code)

Max Activating Token Index: 347