Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2836 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1625812 (Python Code)

Max Activating Token Index: 481

Text #1

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 1543964 (Python Code)

Max Activating Token Index: 215

Text #2

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 1608193 (Python Code)

Max Activating Token Index: 834

Text #3

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 1119191 (C4 (Web Text))

Max Activating Token Index: 604

Text #4

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 658279 (C4 (Web Text))

Max Activating Token Index: 338

Text #5

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1414485 (Python Code)

Max Activating Token Index: 424

Text #6

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Data Index: 1480197 (Python Code)

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Text #7

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Data Index: 1362632 (Python Code)

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Text #8

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Data Index: 1571644 (Python Code)

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Text #9

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Data Index: 1644740 (Python Code)

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Text #10

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Data Index: 1618588 (Python Code)

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Text #11

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Data Index: 1419790 (Python Code)

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Text #12

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Data Index: 1384892 (Python Code)

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Text #13

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Data Index: 911107 (C4 (Web Text))

Max Activating Token Index: 250

Text #14

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Max Activating Token Index: 328

Text #15

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Data Index: 1520329 (Python Code)

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Text #16

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Data Index: 1001265 (C4 (Web Text))

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Text #17

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Data Index: 1500619 (Python Code)

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Text #18

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Data Index: 1485572 (Python Code)

Max Activating Token Index: 573

Text #19

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Max Act: 0.0143. Min Act: -0.0002

Data Index: 1433112 (Python Code)

Max Activating Token Index: 151