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

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

Neuron 1977 in Layer 9

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

Text #0

Max Range: 0.8401. Min Range: -0.8401

Max Act: 0.8401. Min Act: -0.0000

Data Index: 1647380 (Python Code)

Max Activating Token Index: 794

Text #1

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Max Act: 0.4611. Min Act: -0.0000

Data Index: 1415924 (Python Code)

Max Activating Token Index: 280

Text #2

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Max Act: 0.4855. Min Act: -0.0001

Data Index: 1465005 (Python Code)

Max Activating Token Index: 396

Text #3

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Max Act: 0.4334. Min Act: -0.0000

Data Index: 1567580 (Python Code)

Max Activating Token Index: 878

Text #4

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Max Act: 0.4542. Min Act: -0.0000

Data Index: 1444823 (Python Code)

Max Activating Token Index: 613

Text #5

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Data Index: 1648200 (Python Code)

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Text #6

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Data Index: 1646144 (Python Code)

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Text #7

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Data Index: 1540029 (Python Code)

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Text #8

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Data Index: 1377683 (Python Code)

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Text #9

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Data Index: 1629313 (Python Code)

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Text #10

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Data Index: 1514342 (Python Code)

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Text #11

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Data Index: 1547852 (Python Code)

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Text #12

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Data Index: 1371934 (Python Code)

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Text #13

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Data Index: 1413472 (Python Code)

Max Activating Token Index: 529

Text #14

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Data Index: 1371674 (Python Code)

Max Activating Token Index: 944

Text #15

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Data Index: 1554880 (Python Code)

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Text #16

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Data Index: 1583399 (Python Code)

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Text #17

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Data Index: 1362246 (Python Code)

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Text #18

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Data Index: 1457913 (Python Code)

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Text #19

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Max Act: 0.2821. Min Act: -0.0000

Data Index: 1426967 (Python Code)

Max Activating Token Index: 269