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

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

Neuron 827 in Layer 0

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



Text #0

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1647831 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 1487149 (Python Code)

Max Activating Token Index: 366

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Text #2

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 972605 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1568673 (Python Code)

Max Activating Token Index: 674

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Text #4

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Max Act: 0.0068. Min Act: -0.0006

Data Index: 396609 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Max Act: 0.0068. Min Act: -0.0006

Data Index: 1492477 (Python Code)

Max Activating Token Index: 678

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Text #6

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Data Index: 1559841 (Python Code)

Max Activating Token Index: 330

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Text #7

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Data Index: 1647282 (Python Code)

Max Activating Token Index: 412

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Text #8

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Data Index: 1360225 (Python Code)

Max Activating Token Index: 237

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Text #9

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Max Act: 0.0067. Min Act: -0.0006

Data Index: 1500173 (Python Code)

Max Activating Token Index: 73

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Text #10

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Data Index: 1479003 (Python Code)

Max Activating Token Index: 591

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Text #11

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Data Index: 1545813 (Python Code)

Max Activating Token Index: 207

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Text #12

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Data Index: 1530259 (Python Code)

Max Activating Token Index: 181

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Text #13

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Max Act: 0.0065. Min Act: -0.0006

Data Index: 1496778 (Python Code)

Max Activating Token Index: 751

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Text #14

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Data Index: 1628761 (Python Code)

Max Activating Token Index: 736

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Text #15

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Data Index: 1461534 (Python Code)

Max Activating Token Index: 437

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Text #16

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Data Index: 1513637 (Python Code)

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Text #17

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Data Index: 1459110 (Python Code)

Max Activating Token Index: 159

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Text #18

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Data Index: 1640601 (Python Code)

Max Activating Token Index: 769

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Text #19

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Max Act: 0.0065. Min Act: -0.0006

Data Index: 1532845 (Python Code)

Max Activating Token Index: 915

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