Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 307 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0183. Min Act: -0.0006

Data Index: 1563540 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1418896 (Python Code)

Max Activating Token Index: 1023

Text #2

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Data Index: 1508000 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1651953 (Python Code)

Max Activating Token Index: 1023

Text #4

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Data Index: 1653878 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1404818 (Python Code)

Max Activating Token Index: 337

Text #6

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Data Index: 1634836 (Python Code)

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Text #7

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Data Index: 1470405 (Python Code)

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Data Index: 1440144 (Python Code)

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Data Index: 1482987 (Python Code)

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Text #10

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Data Index: 1571613 (Python Code)

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Data Index: 1637130 (Python Code)

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Text #12

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Data Index: 1579925 (Python Code)

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Text #13

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Data Index: 1451834 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1568091 (Python Code)

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Text #15

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Data Index: 1433705 (Python Code)

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Text #16

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Text #17

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Data Index: 1413198 (Python Code)

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Text #18

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Data Index: 1588805 (Python Code)

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Text #19

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Data Index: 1584608 (Python Code)

Max Activating Token Index: 1023