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

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

Neuron 4042 in Layer 0

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

Text #0

Max Range: 0.0063. Min Range: -0.0063

Max Act: 0.0063. Min Act: -0.0002

Data Index: 1470295 (Python Code)

Max Activating Token Index: 337

Text #1

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Max Act: 0.0062. Min Act: -0.0003

Data Index: 612862 (C4 (Web Text))

Max Activating Token Index: 391

Text #2

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Max Act: 0.0059. Min Act: -0.0002

Data Index: 1453906 (Python Code)

Max Activating Token Index: 417

Text #3

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Max Act: 0.0057. Min Act: -0.0002

Data Index: 1362230 (Python Code)

Max Activating Token Index: 30

Text #4

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Max Act: 0.0057. Min Act: -0.0003

Data Index: 1274523 (C4 (Web Text))

Max Activating Token Index: 362

Text #5

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Max Act: 0.0056. Min Act: -0.0002

Data Index: 1392813 (Python Code)

Max Activating Token Index: 44

Text #6

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Max Act: 0.0056. Min Act: -0.0003

Data Index: 379141 (C4 (Web Text))

Max Activating Token Index: 712

Text #7

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Max Act: 0.0055. Min Act: -0.0003

Data Index: 670390 (C4 (Web Text))

Max Activating Token Index: 745

Text #8

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Max Act: 0.0054. Min Act: -0.0003

Data Index: 682791 (C4 (Web Text))

Max Activating Token Index: 651

Text #9

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Max Act: 0.0054. Min Act: -0.0003

Data Index: 334329 (C4 (Web Text))

Max Activating Token Index: 521

Text #10

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Data Index: 1633949 (Python Code)

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Text #11

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Data Index: 1502353 (Python Code)

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Text #12

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Data Index: 1005585 (C4 (Web Text))

Max Activating Token Index: 445

Text #13

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Data Index: 1447199 (Python Code)

Max Activating Token Index: 72

Text #14

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Data Index: 1255946 (C4 (Web Text))

Max Activating Token Index: 745

Text #15

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Data Index: 1421210 (Python Code)

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Text #16

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Text #17

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Data Index: 983933 (C4 (Web Text))

Max Activating Token Index: 737

Text #18

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Data Index: 279248 (C4 (Web Text))

Max Activating Token Index: 799

Text #19

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Max Act: 0.0052. Min Act: -0.0003

Data Index: 807891 (C4 (Web Text))

Max Activating Token Index: 175