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

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

Neuron 641 in Layer 0

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

Text #0

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1468336 (Python Code)

Max Activating Token Index: 1009

Text #1

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Max Act: 0.0114. Min Act: -0.0005

Data Index: 1458891 (Python Code)

Max Activating Token Index: 1007

Text #2

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 1425569 (Python Code)

Max Activating Token Index: 999

Text #3

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 809540 (C4 (Web Text))

Max Activating Token Index: 777

Text #4

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Max Act: 0.0124. Min Act: -0.0006

Data Index: 836912 (C4 (Web Text))

Max Activating Token Index: 563

Text #5

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Max Act: 0.0114. Min Act: -0.0004

Data Index: 1405283 (Python Code)

Max Activating Token Index: 273

Text #6

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Data Index: 1380227 (Python Code)

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Text #7

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Data Index: 1635328 (Python Code)

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Text #8

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Data Index: 687235 (C4 (Web Text))

Max Activating Token Index: 813

Text #9

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Data Index: 1562909 (Python Code)

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Text #10

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Data Index: 1645582 (Python Code)

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Text #11

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Data Index: 1385158 (Python Code)

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Text #12

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Data Index: 1468333 (Python Code)

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Text #13

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Data Index: 544243 (C4 (Web Text))

Max Activating Token Index: 136

Text #14

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Data Index: 634420 (C4 (Web Text))

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Text #15

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Text #16

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Data Index: 1365887 (Python Code)

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Text #17

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Data Index: 1568026 (Python Code)

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Text #18

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Data Index: 211240 (C4 (Web Text))

Max Activating Token Index: 222

Text #19

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Data Index: 1519224 (Python Code)

Max Activating Token Index: 965