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

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

Neuron 66 in Layer 0

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

Text #0

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 1388054 (Python Code)

Max Activating Token Index: 736

Text #1

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1627945 (Python Code)

Max Activating Token Index: 184

Text #2

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Data Index: 1488860 (Python Code)

Max Activating Token Index: 29

Text #3

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Max Act: 0.0077. Min Act: -0.0004

Data Index: 922822 (C4 (Web Text))

Max Activating Token Index: 737

Text #4

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 1375212 (Python Code)

Max Activating Token Index: 672

Text #5

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Data Index: 1407003 (Python Code)

Max Activating Token Index: 735

Text #6

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Data Index: 1052858 (C4 (Web Text))

Max Activating Token Index: 335

Text #7

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Data Index: 873114 (C4 (Web Text))

Max Activating Token Index: 513

Text #8

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Data Index: 1571454 (Python Code)

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Text #9

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Data Index: 1515536 (Python Code)

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Text #10

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Data Index: 1608185 (Python Code)

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Text #11

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Text #12

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Text #13

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Data Index: 194869 (C4 (Web Text))

Max Activating Token Index: 531

Text #14

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Data Index: 1547603 (Python Code)

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Text #15

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Data Index: 1470175 (Python Code)

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1342277 (C4 (Web Text))

Max Activating Token Index: 723