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

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

Neuron 4509 in Layer 0

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

Text #0

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Max Act: 0.0498. Min Act: -0.0002

Data Index: 1530212 (Python Code)

Max Activating Token Index: 890

Text #1

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Max Act: 0.0475. Min Act: -0.0002

Data Index: 1531528 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0461. Min Act: -0.0001

Data Index: 1387981 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0447. Min Act: -0.0001

Data Index: 1605451 (Python Code)

Max Activating Token Index: 799

Text #4

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Max Act: 0.0435. Min Act: -0.0002

Data Index: 1414853 (Python Code)

Max Activating Token Index: 759

Text #5

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Max Act: 0.0426. Min Act: -0.0002

Data Index: 1529923 (Python Code)

Max Activating Token Index: 805

Text #6

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Data Index: 1438044 (Python Code)

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Text #7

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 1507115 (Python Code)

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Text #8

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Data Index: 1599106 (Python Code)

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Text #9

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Data Index: 1493712 (Python Code)

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Text #10

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Data Index: 1627176 (Python Code)

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Text #11

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Data Index: 1567185 (Python Code)

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Text #12

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Data Index: 1535906 (Python Code)

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Text #13

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Max Act: 0.0409. Min Act: -0.0001

Data Index: 1362278 (Python Code)

Max Activating Token Index: 470

Text #14

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Data Index: 1428194 (Python Code)

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Text #15

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Data Index: 1576539 (Python Code)

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Text #16

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Data Index: 1599609 (Python Code)

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Text #17

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Data Index: 1552044 (Python Code)

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Text #18

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Data Index: 1370075 (Python Code)

Max Activating Token Index: 285

Text #19

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Max Act: 0.0393. Min Act: -0.0002

Data Index: 1616498 (Python Code)

Max Activating Token Index: 228