Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1083 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0170. Min Act: -0.0005

Data Index: 1366001 (Python Code)

Max Activating Token Index: 381

Text #1

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Max Act: 0.0162. Min Act: -0.0005

Data Index: 1636582 (Python Code)

Max Activating Token Index: 858

Text #2

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 1588680 (Python Code)

Max Activating Token Index: 27

Text #3

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 1407914 (Python Code)

Max Activating Token Index: 843

Text #4

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Max Act: 0.0158. Min Act: -0.0005

Data Index: 1620088 (Python Code)

Max Activating Token Index: 1000

Text #5

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1584848 (Python Code)

Max Activating Token Index: 820

Text #6

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Data Index: 1499984 (Python Code)

Max Activating Token Index: 457

Text #7

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Data Index: 1526759 (Python Code)

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Text #8

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Data Index: 1516741 (Python Code)

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Text #9

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Data Index: 1617387 (Python Code)

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Text #10

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Data Index: 1655375 (Python Code)

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Text #11

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Data Index: 1476127 (Python Code)

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Text #12

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Data Index: 1401728 (Python Code)

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Text #13

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Data Index: 1548879 (Python Code)

Max Activating Token Index: 121

Text #14

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Data Index: 1501663 (Python Code)

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Text #15

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Data Index: 1372836 (Python Code)

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Text #16

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Data Index: 1453876 (Python Code)

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Text #17

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Data Index: 1381977 (Python Code)

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Text #18

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Data Index: 1448016 (Python Code)

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Text #19

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Data Index: 1644988 (Python Code)

Max Activating Token Index: 19