Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1300 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 1618925 (Python Code)

Max Activating Token Index: 185

Text #1

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Max Act: 0.0112. Min Act: -0.0003

Data Index: 1647232 (Python Code)

Max Activating Token Index: 465

Text #2

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 1589858 (Python Code)

Max Activating Token Index: 302

Text #3

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 1527219 (Python Code)

Max Activating Token Index: 757

Text #4

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1516117 (Python Code)

Max Activating Token Index: 879

Text #5

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1491948 (Python Code)

Max Activating Token Index: 381

Text #6

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Data Index: 1520729 (Python Code)

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Text #7

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Data Index: 1509617 (Python Code)

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Text #8

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Data Index: 1393572 (Python Code)

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Text #9

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Data Index: 214612 (C4 (Web Text))

Max Activating Token Index: 314

Text #10

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Data Index: 1533179 (Python Code)

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Text #11

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Data Index: 1552055 (Python Code)

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Text #12

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Data Index: 1613662 (Python Code)

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Text #13

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Data Index: 1411071 (Python Code)

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Text #14

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Data Index: 1623797 (Python Code)

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Text #15

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Data Index: 1436650 (Python Code)

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Text #16

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Data Index: 1379822 (Python Code)

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Text #17

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Data Index: 824731 (C4 (Web Text))

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Text #18

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Data Index: 1620801 (Python Code)

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Text #19

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 1405812 (Python Code)

Max Activating Token Index: 645