Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2309 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0941. Min Act: -0.0003

Data Index: 1566813 (Python Code)

Max Activating Token Index: 45

Text #1

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Max Act: 0.0949. Min Act: -0.0003

Data Index: 1404072 (Python Code)

Max Activating Token Index: 48

Text #2

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Max Act: 0.0942. Min Act: -0.0003

Data Index: 1524846 (Python Code)

Max Activating Token Index: 905

Text #3

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Max Act: 0.0848. Min Act: -0.0003

Data Index: 1606486 (Python Code)

Max Activating Token Index: 25

Text #4

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Max Act: 0.0856. Min Act: -0.0003

Data Index: 1588165 (Python Code)

Max Activating Token Index: 47

Text #5

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Max Act: 0.0982. Min Act: -0.0003

Data Index: 1511205 (Python Code)

Max Activating Token Index: 815

Text #6

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Data Index: 1375023 (Python Code)

Max Activating Token Index: 44

Text #7

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Data Index: 1632366 (Python Code)

Max Activating Token Index: 49

Text #8

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Data Index: 860913 (C4 (Web Text))

Max Activating Token Index: 960

Text #9

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Data Index: 1629160 (Python Code)

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Text #10

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Data Index: 1394113 (Python Code)

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Text #11

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Data Index: 1545683 (Python Code)

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Text #12

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Data Index: 1364550 (Python Code)

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Text #13

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Data Index: 1563187 (Python Code)

Max Activating Token Index: 880

Text #14

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Data Index: 1592805 (Python Code)

Max Activating Token Index: 768

Text #15

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Data Index: 1506059 (Python Code)

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Text #16

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Data Index: 1588205 (Python Code)

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Text #17

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Data Index: 1512549 (Python Code)

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Text #18

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Data Index: 1587178 (Python Code)

Max Activating Token Index: 49

Text #19

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Max Act: 0.0807. Min Act: -0.0003

Data Index: 1640841 (Python Code)

Max Activating Token Index: 49