Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1153 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0168. Min Act: -0.0005

Data Index: 1384808 (Python Code)

Max Activating Token Index: 794

Text #1

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Max Act: 0.0167. Min Act: -0.0005

Data Index: 1618493 (Python Code)

Max Activating Token Index: 956

Text #2

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Max Act: 0.0166. Min Act: -0.0005

Data Index: 1455746 (Python Code)

Max Activating Token Index: 918

Text #3

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Max Act: 0.0159. Min Act: -0.0005

Data Index: 1415763 (Python Code)

Max Activating Token Index: 724

Text #4

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 1650307 (Python Code)

Max Activating Token Index: 643

Text #5

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Max Act: 0.0159. Min Act: -0.0005

Data Index: 1594481 (Python Code)

Max Activating Token Index: 852

Text #6

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Data Index: 1366779 (Python Code)

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Text #7

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Data Index: 1655634 (Python Code)

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Text #8

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Data Index: 1634083 (Python Code)

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Text #9

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Data Index: 1650621 (Python Code)

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Text #10

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Data Index: 1644094 (Python Code)

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Text #11

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Data Index: 1431688 (Python Code)

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Text #12

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Data Index: 1364218 (Python Code)

Max Activating Token Index: 1002

Text #13

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Data Index: 1589082 (Python Code)

Max Activating Token Index: 98

Text #14

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Data Index: 1487356 (Python Code)

Max Activating Token Index: 815

Text #15

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Data Index: 1410480 (Python Code)

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Text #16

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Data Index: 1542710 (Python Code)

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Text #17

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Data Index: 1623796 (Python Code)

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Text #18

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Data Index: 1553815 (Python Code)

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Text #19

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Data Index: 1627535 (Python Code)

Max Activating Token Index: 820