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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 664 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0139. Min Act: -0.0004

Data Index: 1474466 (Python Code)

Max Activating Token Index: 412

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Text #1

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Max Act: 0.0126. Min Act: -0.0004

Data Index: 1507310 (Python Code)

Max Activating Token Index: 249

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Text #2

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Max Act: 0.0101. Min Act: -0.0004

Data Index: 1616994 (Python Code)

Max Activating Token Index: 46

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Text #3

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1656125 (Python Code)

Max Activating Token Index: 569

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Text #4

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Max Act: 0.0086. Min Act: -0.0004

Data Index: 1494363 (Python Code)

Max Activating Token Index: 510

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Text #5

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Max Act: 0.0078. Min Act: -0.0004

Data Index: 1487996 (Python Code)

Max Activating Token Index: 380

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Text #6

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Data Index: 1416128 (Python Code)

Max Activating Token Index: 939

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Text #7

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Data Index: 1060913 (C4 (Web Text))

Max Activating Token Index: 237

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Text #8

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Data Index: 1585520 (Python Code)

Max Activating Token Index: 606

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Text #9

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Data Index: 1499715 (Python Code)

Max Activating Token Index: 125

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Text #10

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Data Index: 810912 (C4 (Web Text))

Max Activating Token Index: 250

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Text #11

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Data Index: 1364385 (Python Code)

Max Activating Token Index: 86

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Text #12

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Data Index: 1430663 (Python Code)

Max Activating Token Index: 438

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Text #13

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Data Index: 1561292 (Python Code)

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Text #14

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Data Index: 1589699 (Python Code)

Max Activating Token Index: 117

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Text #15

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Data Index: 1039703 (C4 (Web Text))

Max Activating Token Index: 387

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Text #16

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Data Index: 1457210 (Python Code)

Max Activating Token Index: 539

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Text #17

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Max Act: 0.0056. Min Act: -0.0006

Data Index: 59770 (C4 (Web Text))

Max Activating Token Index: 109

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Text #18

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Max Act: 0.0055. Min Act: -0.0006

Data Index: 464833 (C4 (Web Text))

Max Activating Token Index: 120

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Text #19

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Max Act: 0.0055. Min Act: -0.0005

Data Index: 1384502 (Python Code)

Max Activating Token Index: 68

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