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

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

Neuron 277 in Layer 0

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

Text #0

Max Range: 0.0386. Min Range: -0.0386

Max Act: 0.0386. Min Act: -0.0002

Data Index: 1493810 (Python Code)

Max Activating Token Index: 5

Text #1

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1398883 (Python Code)

Max Activating Token Index: 5

Text #2

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Max Act: 0.0358. Min Act: -0.0002

Data Index: 1596676 (Python Code)

Max Activating Token Index: 6

Text #3

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Max Act: 0.0359. Min Act: -0.0002

Data Index: 1577994 (Python Code)

Max Activating Token Index: 5

Text #4

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 1629892 (Python Code)

Max Activating Token Index: 11

Text #5

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Max Act: 0.0317. Min Act: -0.0002

Data Index: 1576614 (Python Code)

Max Activating Token Index: 7

Text #6

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 1480351 (Python Code)

Max Activating Token Index: 28

Text #7

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Data Index: 1649491 (Python Code)

Max Activating Token Index: 8

Text #8

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Data Index: 1503875 (Python Code)

Max Activating Token Index: 5

Text #9

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Data Index: 1500010 (Python Code)

Max Activating Token Index: 6

Text #10

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Data Index: 1495891 (Python Code)

Max Activating Token Index: 13

Text #11

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Data Index: 1442148 (Python Code)

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Text #12

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Data Index: 1539159 (Python Code)

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Text #13

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 1436797 (Python Code)

Max Activating Token Index: 4

Text #14

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 1629187 (Python Code)

Max Activating Token Index: 5

Text #15

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1560240 (Python Code)

Max Activating Token Index: 8

Text #16

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Data Index: 1480671 (Python Code)

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Text #17

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Data Index: 1490134 (Python Code)

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Text #18

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Data Index: 1634341 (Python Code)

Max Activating Token Index: 35

Text #19

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Max Act: 0.0276. Min Act: -0.0002

Data Index: 1583274 (Python Code)

Max Activating Token Index: 7