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

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

Neuron 589 in Layer 9

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

Text #0

Max Range: 0.6817. Min Range: -0.6817

Max Act: 0.6817. Min Act: -0.0000

Data Index: 1431829 (Python Code)

Max Activating Token Index: 578

Text #1

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Max Act: 0.5839. Min Act: 0.0000

Data Index: 1363528 (Python Code)

Max Activating Token Index: 117

Text #2

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Max Act: 0.4720. Min Act: 0.0000

Data Index: 1539172 (Python Code)

Max Activating Token Index: 167

Text #3

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Max Act: 0.4795. Min Act: -0.0000

Data Index: 1477606 (Python Code)

Max Activating Token Index: 27

Text #4

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Max Act: 0.4436. Min Act: -0.0000

Data Index: 1534457 (Python Code)

Max Activating Token Index: 329

Text #5

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Max Act: 0.4193. Min Act: -0.0000

Data Index: 1597965 (Python Code)

Max Activating Token Index: 471

Text #6

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Data Index: 1486271 (Python Code)

Max Activating Token Index: 457

Text #7

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Data Index: 1545173 (Python Code)

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Text #8

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Data Index: 1546316 (Python Code)

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Text #9

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Data Index: 1438933 (Python Code)

Max Activating Token Index: 318

Text #10

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Data Index: 1457894 (Python Code)

Max Activating Token Index: 487

Text #11

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Data Index: 1394684 (Python Code)

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Text #12

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Data Index: 1593349 (Python Code)

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Text #13

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Data Index: 1628820 (Python Code)

Max Activating Token Index: 221

Text #14

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Data Index: 1429667 (Python Code)

Max Activating Token Index: 365

Text #15

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Data Index: 1430806 (Python Code)

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Text #16

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Data Index: 1643531 (Python Code)

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Text #17

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Data Index: 1460017 (Python Code)

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Text #18

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Data Index: 1644436 (Python Code)

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Text #19

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Max Act: 0.3402. Min Act: 0.0000

Data Index: 1479643 (Python Code)

Max Activating Token Index: 932