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

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

Neuron 1799 in Layer 5

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

Text #0

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Max Act: 1.1856. Min Act: -0.0001

Data Index: 1584575 (Python Code)

Max Activating Token Index: 23

Text #1

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Max Act: 1.1870. Min Act: -0.0001

Data Index: 1526174 (Python Code)

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Text #2

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Data Index: 1563428 (Python Code)

Max Activating Token Index: 128

Text #3

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Max Act: 1.1113. Min Act: -0.0001

Data Index: 175912 (C4 (Web Text))

Max Activating Token Index: 145

Text #4

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Max Act: 1.0970. Min Act: -0.0001

Data Index: 831812 (C4 (Web Text))

Max Activating Token Index: 238

Text #5

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Max Act: 1.1148. Min Act: -0.0001

Data Index: 1606543 (Python Code)

Max Activating Token Index: 534

Text #6

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Data Index: 1645361 (Python Code)

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Text #7

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Data Index: 293683 (C4 (Web Text))

Max Activating Token Index: 275

Text #8

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Data Index: 1438069 (Python Code)

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Text #9

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Data Index: 1545087 (Python Code)

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Text #10

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Data Index: 1535494 (Python Code)

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Text #11

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Data Index: 1416863 (Python Code)

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Text #12

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Data Index: 1380317 (Python Code)

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Text #13

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Data Index: 1638060 (Python Code)

Max Activating Token Index: 605

Text #14

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Data Index: 1506177 (Python Code)

Max Activating Token Index: 534

Text #15

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Data Index: 1542755 (Python Code)

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Text #16

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Data Index: 15571 (C4 (Web Text))

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Text #17

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Data Index: 1405079 (Python Code)

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Text #18

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Data Index: 1553313 (Python Code)

Max Activating Token Index: 459

Text #19

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Max Act: 1.0717. Min Act: -0.0001

Data Index: 1627909 (Python Code)

Max Activating Token Index: 246