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

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

Neuron 3099 in Layer 0

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

Text #0

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Max Act: 0.0749. Min Act: -0.0002

Data Index: 1495753 (Python Code)

Max Activating Token Index: 57

Text #1

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Max Act: 0.0745. Min Act: -0.0002

Data Index: 1400834 (Python Code)

Max Activating Token Index: 18

Text #2

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Max Act: 0.0733. Min Act: -0.0002

Data Index: 1488349 (Python Code)

Max Activating Token Index: 33

Text #3

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Max Act: 0.0706. Min Act: -0.0002

Data Index: 1611148 (Python Code)

Max Activating Token Index: 7

Text #4

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Max Act: 0.0723. Min Act: -0.0001

Data Index: 1369284 (Python Code)

Max Activating Token Index: 38

Text #5

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Max Act: 0.0700. Min Act: -0.0001

Data Index: 1550077 (Python Code)

Max Activating Token Index: 28

Text #6

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Data Index: 1572483 (Python Code)

Max Activating Token Index: 18

Text #7

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Data Index: 1415269 (Python Code)

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Text #8

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Data Index: 1608958 (Python Code)

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Text #9

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Data Index: 1422307 (Python Code)

Max Activating Token Index: 750

Text #10

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Data Index: 1374813 (Python Code)

Max Activating Token Index: 16

Text #11

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Data Index: 1539604 (Python Code)

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Text #12

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Data Index: 1378294 (Python Code)

Max Activating Token Index: 219

Text #13

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Data Index: 1491255 (Python Code)

Max Activating Token Index: 555

Text #14

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Data Index: 1402015 (Python Code)

Max Activating Token Index: 595

Text #15

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Data Index: 1454171 (Python Code)

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Text #16

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Data Index: 1459403 (Python Code)

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Text #17

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Data Index: 1610846 (Python Code)

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Text #18

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Data Index: 1504790 (Python Code)

Max Activating Token Index: 349

Text #19

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Data Index: 1460341 (Python Code)

Max Activating Token Index: 63