Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 320 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 1376047 (Python Code)

Max Activating Token Index: 876

Text #1

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 1478787 (Python Code)

Max Activating Token Index: 926

Text #2

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Max Act: 0.0159. Min Act: -0.0003

Data Index: 1390399 (Python Code)

Max Activating Token Index: 880

Text #3

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 673930 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 130778 (C4 (Web Text))

Max Activating Token Index: 765

Text #5

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 1589850 (Python Code)

Max Activating Token Index: 311

Text #6

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Data Index: 151775 (C4 (Web Text))

Max Activating Token Index: 207

Text #7

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Data Index: 1372974 (Python Code)

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Text #8

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Data Index: 1612657 (Python Code)

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Text #9

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Data Index: 105511 (C4 (Web Text))

Max Activating Token Index: 192

Text #10

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Text #11

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Text #12

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Max Activating Token Index: 772

Text #13

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Data Index: 86798 (C4 (Web Text))

Max Activating Token Index: 735

Text #14

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Max Activating Token Index: 575

Text #15

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Text #16

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Text #17

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Data Index: 1629652 (Python Code)

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Text #18

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Data Index: 1513799 (Python Code)

Max Activating Token Index: 690

Text #19

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Max Act: 0.0142. Min Act: -0.0003

Data Index: 755174 (C4 (Web Text))

Max Activating Token Index: 101