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

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

Neuron 1154 in Layer 1

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

Text #0

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 1577939 (Python Code)

Max Activating Token Index: 552

Text #1

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Max Act: 0.0107. Min Act: -0.0006

Data Index: 1540829 (Python Code)

Max Activating Token Index: 373

Text #2

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1440425 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 1369261 (Python Code)

Max Activating Token Index: 731

Text #4

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Max Act: 0.0088. Min Act: -0.0006

Data Index: 1499843 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 1509690 (Python Code)

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Text #6

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Data Index: 1610435 (Python Code)

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Text #7

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Data Index: 1417143 (Python Code)

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Text #8

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Data Index: 1503009 (Python Code)

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Text #9

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Data Index: 1523507 (Python Code)

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Text #10

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Data Index: 1371078 (Python Code)

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Text #11

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Data Index: 1583972 (Python Code)

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Text #12

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Data Index: 1457799 (Python Code)

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Text #13

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Data Index: 1414832 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1442640 (Python Code)

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Text #15

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Data Index: 843422 (C4 (Web Text))

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Text #16

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Data Index: 1654016 (Python Code)

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Text #17

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Data Index: 1374904 (Python Code)

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Text #18

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Data Index: 1445013 (Python Code)

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Text #19

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Data Index: 1442538 (Python Code)

Max Activating Token Index: 934