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

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

Neuron 1903 in Layer 1

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

Text #0

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 1494726 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0148. Min Act: -0.0003

Data Index: 1400687 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0156. Min Act: -0.0003

Data Index: 907490 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1584922 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0148. Min Act: -0.0003

Data Index: 1446346 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1618878 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1584597 (Python Code)

Max Activating Token Index: 1023

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Data Index: 1485739 (Python Code)

Max Activating Token Index: 1023

Text #8

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Data Index: 1423270 (Python Code)

Max Activating Token Index: 1023

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Data Index: 1488899 (Python Code)

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Text #10

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Data Index: 1388364 (Python Code)

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Text #11

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Data Index: 1519819 (Python Code)

Max Activating Token Index: 1023

Text #12

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Data Index: 1387261 (Python Code)

Max Activating Token Index: 1023

Text #13

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Data Index: 1505584 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1640644 (Python Code)

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Text #15

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Text #16

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Data Index: 1386632 (Python Code)

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Text #17

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Max Activating Token Index: 1019

Text #18

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Data Index: 1447115 (Python Code)

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Text #19

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Max Act: 0.0119. Min Act: -0.0003

Data Index: 709318 (C4 (Web Text))

Max Activating Token Index: 1023