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

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

Neuron 2696 in Layer 0

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

Text #0

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1519981 (Python Code)

Max Activating Token Index: 33

Text #1

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1520468 (Python Code)

Max Activating Token Index: 9

Text #2

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 1430861 (Python Code)

Max Activating Token Index: 18

Text #3

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 1479878 (Python Code)

Max Activating Token Index: 38

Text #4

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1572622 (Python Code)

Max Activating Token Index: 7

Text #5

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Max Act: 0.0173. Min Act: -0.0002

Data Index: 1578326 (Python Code)

Max Activating Token Index: 746

Text #6

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Data Index: 1590541 (Python Code)

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Text #7

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Data Index: 1519096 (Python Code)

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Text #8

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Data Index: 1489273 (Python Code)

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Text #9

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Data Index: 1654033 (Python Code)

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Text #10

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Data Index: 1520089 (Python Code)

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Text #11

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Data Index: 1568870 (Python Code)

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Text #12

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Data Index: 1621734 (Python Code)

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Text #13

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Data Index: 1370208 (Python Code)

Max Activating Token Index: 88

Text #14

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Data Index: 1625130 (Python Code)

Max Activating Token Index: 498

Text #15

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Data Index: 1430553 (Python Code)

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Text #16

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Data Index: 1502871 (Python Code)

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Text #17

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Data Index: 1424532 (Python Code)

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Text #18

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Data Index: 1459388 (Python Code)

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Text #19

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Max Act: 0.0158. Min Act: -0.0002

Data Index: 1380120 (Python Code)

Max Activating Token Index: 598