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

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

Neuron 3100 in Layer 0

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

Text #0

Max Range: 0.0092. Min Range: -0.0092

Max Act: 0.0092. Min Act: -0.0002

Data Index: 1638272 (Python Code)

Max Activating Token Index: 233

Text #1

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Max Act: 0.0076. Min Act: -0.0002

Data Index: 1602817 (Python Code)

Max Activating Token Index: 109

Text #2

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1374772 (Python Code)

Max Activating Token Index: 815

Text #3

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Max Act: 0.0075. Min Act: -0.0002

Data Index: 1605226 (Python Code)

Max Activating Token Index: 531

Text #4

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Max Act: 0.0076. Min Act: -0.0002

Data Index: 1365742 (Python Code)

Max Activating Token Index: 169

Text #5

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 1427113 (Python Code)

Max Activating Token Index: 144

Text #6

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Max Act: 0.0075. Min Act: -0.0002

Data Index: 1521184 (Python Code)

Max Activating Token Index: 790

Text #7

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Data Index: 1652663 (Python Code)

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Text #8

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Data Index: 1524852 (Python Code)

Max Activating Token Index: 270

Text #9

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1649240 (Python Code)

Max Activating Token Index: 854

Text #10

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1598598 (Python Code)

Max Activating Token Index: 708

Text #11

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Max Act: 0.0071. Min Act: -0.0002

Data Index: 1374343 (Python Code)

Max Activating Token Index: 189

Text #12

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Data Index: 1567359 (Python Code)

Max Activating Token Index: 332

Text #13

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 1512748 (Python Code)

Max Activating Token Index: 280

Text #14

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Data Index: 1618029 (Python Code)

Max Activating Token Index: 456

Text #15

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 1649295 (Python Code)

Max Activating Token Index: 857

Text #16

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Max Act: 0.0070. Min Act: -0.0002

Data Index: 1483592 (Python Code)

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Text #17

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Data Index: 1656344 (Python Code)

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Text #18

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Data Index: 1581507 (Python Code)

Max Activating Token Index: 67

Text #19

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 1648773 (Python Code)

Max Activating Token Index: 478