Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 86 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 1431787 (Python Code)

Max Activating Token Index: 998

Text #1

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1445664 (Python Code)

Max Activating Token Index: 41

Text #2

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Max Act: 0.0183. Min Act: -0.0002

Data Index: 1409741 (Python Code)

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Text #3

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 1445532 (Python Code)

Max Activating Token Index: 830

Text #4

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Max Act: 0.0175. Min Act: -0.0002

Data Index: 1618879 (Python Code)

Max Activating Token Index: 698

Text #5

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Data Index: 1590058 (Python Code)

Max Activating Token Index: 377

Text #6

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Data Index: 1367854 (Python Code)

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Text #7

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Data Index: 1500839 (Python Code)

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Text #8

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Data Index: 1655623 (Python Code)

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Text #9

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Data Index: 1629496 (Python Code)

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Text #10

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Data Index: 1627648 (Python Code)

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Text #11

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Data Index: 1598180 (Python Code)

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Text #12

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Data Index: 1433311 (Python Code)

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Text #13

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Data Index: 1642464 (Python Code)

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Text #14

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Data Index: 1570078 (Python Code)

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Text #15

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Data Index: 1494054 (Python Code)

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Text #16

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Data Index: 1549860 (Python Code)

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Text #17

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Data Index: 1494248 (Python Code)

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Text #18

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Data Index: 1636158 (Python Code)

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Text #19

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1454379 (Python Code)

Max Activating Token Index: 725