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

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

Neuron 3065 in Layer 2

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



Text #0

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Max Act: 0.2298. Min Act: -0.0003

Data Index: 101732 (C4 (Web Text))

Max Activating Token Index: 700

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Text #1

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Max Act: 0.2253. Min Act: -0.0003

Data Index: 1093018 (C4 (Web Text))

Max Activating Token Index: 371

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Truncated

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Text #2

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Max Act: 0.2129. Min Act: -0.0003

Data Index: 1354943 (C4 (Web Text))

Max Activating Token Index: 905

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Text #3

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Max Act: 0.1908. Min Act: -0.0003

Data Index: 1150197 (C4 (Web Text))

Max Activating Token Index: 106

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Truncated

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Text #4

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Max Act: 0.2070. Min Act: -0.0003

Data Index: 644089 (C4 (Web Text))

Max Activating Token Index: 828

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Truncated

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Text #5

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Max Act: 0.2062. Min Act: -0.0003

Data Index: 544303 (C4 (Web Text))

Max Activating Token Index: 303

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Text #6

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Data Index: 636267 (C4 (Web Text))

Max Activating Token Index: 831

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Truncated

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Text #7

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Data Index: 348202 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 717842 (C4 (Web Text))

Max Activating Token Index: 232

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Text #9

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Data Index: 618047 (C4 (Web Text))

Max Activating Token Index: 624

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Truncated

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Text #10

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Data Index: 1631693 (Python Code)

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Text #11

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Data Index: 721417 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 938042 (C4 (Web Text))

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Text #13

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Data Index: 296796 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 357655 (C4 (Web Text))

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Text #15

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Data Index: 548454 (C4 (Web Text))

Max Activating Token Index: 473

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Text #16

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Data Index: 129890 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 686187 (C4 (Web Text))

Max Activating Token Index: 15

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Text #18

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Data Index: 1618793 (Python Code)

Max Activating Token Index: 328

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Truncated

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Text #19

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Max Act: 0.1849. Min Act: -0.0003

Data Index: 1222314 (C4 (Web Text))

Max Activating Token Index: 487

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