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

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

Neuron 575 in Layer 0

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



Text #0

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Max Act: 0.0122. Min Act: -0.0003

Data Index: 1652925 (Python Code)

Max Activating Token Index: 243

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Text #1

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Max Act: 0.0118. Min Act: -0.0003

Data Index: 1637717 (Python Code)

Max Activating Token Index: 748

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Text #2

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Max Act: 0.0116. Min Act: -0.0003

Data Index: 1460612 (Python Code)

Max Activating Token Index: 115

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Text #3

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 1554296 (Python Code)

Max Activating Token Index: 263

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Text #4

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1519112 (Python Code)

Max Activating Token Index: 599

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Text #5

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1608216 (Python Code)

Max Activating Token Index: 369

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Text #6

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Data Index: 1557342 (Python Code)

Max Activating Token Index: 553

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Text #7

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Data Index: 1533255 (Python Code)

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Text #8

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Data Index: 1543574 (Python Code)

Max Activating Token Index: 503

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Text #9

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Max Act: 0.0094. Min Act: -0.0003

Data Index: 1431290 (Python Code)

Max Activating Token Index: 388

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Text #10

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Data Index: 1613831 (Python Code)

Max Activating Token Index: 706

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Text #11

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Data Index: 1500163 (Python Code)

Max Activating Token Index: 688

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Text #12

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Data Index: 1451132 (Python Code)

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Text #13

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Max Act: 0.0092. Min Act: -0.0003

Data Index: 849632 (C4 (Web Text))

Max Activating Token Index: 841

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Text #14

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Data Index: 1588978 (Python Code)

Max Activating Token Index: 336

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Text #15

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Data Index: 490942 (C4 (Web Text))

Max Activating Token Index: 448

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Text #16

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Data Index: 1636136 (Python Code)

Max Activating Token Index: 945

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Text #17

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Data Index: 1553620 (Python Code)

Max Activating Token Index: 265

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Text #18

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Data Index: 1599397 (Python Code)

Max Activating Token Index: 289

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Text #19

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Max Act: 0.0090. Min Act: -0.0003

Data Index: 1514485 (Python Code)

Max Activating Token Index: 351

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