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

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

Neuron 3956 in Layer 2

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

Text #0

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Max Act: 0.0880. Min Act: -0.0002

Data Index: 1573604 (Python Code)

Max Activating Token Index: 249

Text #1

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Max Act: 0.0805. Min Act: -0.0002

Data Index: 1593786 (Python Code)

Max Activating Token Index: 622

Text #2

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Max Act: 0.0604. Min Act: -0.0002

Data Index: 1387068 (Python Code)

Max Activating Token Index: 303

Text #3

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Max Act: 0.0696. Min Act: -0.0002

Data Index: 1523925 (Python Code)

Max Activating Token Index: 777

Text #4

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Max Act: 0.0696. Min Act: -0.0002

Data Index: 463239 (C4 (Web Text))

Max Activating Token Index: 19

Text #5

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Max Act: 0.0618. Min Act: -0.0002

Data Index: 1506566 (Python Code)

Max Activating Token Index: 785

Text #6

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Data Index: 1560352 (Python Code)

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Text #7

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Data Index: 1401958 (Python Code)

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Text #8

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Data Index: 701835 (C4 (Web Text))

Max Activating Token Index: 173

Text #9

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Data Index: 1491563 (Python Code)

Max Activating Token Index: 528

Text #10

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Data Index: 983103 (C4 (Web Text))

Max Activating Token Index: 569

Text #11

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Data Index: 1403126 (Python Code)

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Text #12

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Data Index: 119058 (C4 (Web Text))

Max Activating Token Index: 174

Text #13

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Data Index: 566578 (C4 (Web Text))

Max Activating Token Index: 47

Text #14

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Data Index: 1430798 (Python Code)

Max Activating Token Index: 639

Text #15

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Text #16

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Text #17

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Data Index: 1531605 (Python Code)

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Text #18

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Data Index: 1638257 (Python Code)

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Text #19

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Data Index: 1631312 (Python Code)

Max Activating Token Index: 354