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

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

Neuron 4683 in Layer 2

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

Text #0

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Max Act: 0.0313. Min Act: -0.0002

Data Index: 1647847 (Python Code)

Max Activating Token Index: 204

Text #1

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 1397859 (Python Code)

Max Activating Token Index: 131

Text #2

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 1456309 (Python Code)

Max Activating Token Index: 497

Text #3

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Max Act: 0.0307. Min Act: -0.0002

Data Index: 1426904 (Python Code)

Max Activating Token Index: 371

Text #4

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1464812 (Python Code)

Max Activating Token Index: 412

Text #5

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Data Index: 1362619 (Python Code)

Max Activating Token Index: 499

Text #6

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Data Index: 1648313 (Python Code)

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Text #7

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Data Index: 1632256 (Python Code)

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Text #8

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Data Index: 1105431 (C4 (Web Text))

Max Activating Token Index: 75

Text #9

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Data Index: 1485653 (Python Code)

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Text #10

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Data Index: 1396058 (Python Code)

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Text #11

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Data Index: 1645856 (Python Code)

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Text #12

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Data Index: 1653641 (Python Code)

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Text #13

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Data Index: 1623209 (Python Code)

Max Activating Token Index: 230

Text #14

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Data Index: 1607280 (Python Code)

Max Activating Token Index: 431

Text #15

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Data Index: 1364305 (Python Code)

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Text #16

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Data Index: 62458 (C4 (Web Text))

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Text #17

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Data Index: 1651049 (Python Code)

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Text #18

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Data Index: 1468793 (Python Code)

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Text #19

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Data Index: 1546965 (Python Code)

Max Activating Token Index: 670