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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3195 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 636882 (C4 (Web Text))

Max Activating Token Index: 8

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Text #1

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 83908 (C4 (Web Text))

Max Activating Token Index: 35

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Truncated

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Text #2

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 364200 (C4 (Web Text))

Max Activating Token Index: 11

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Text #3

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Max Act: 0.0113. Min Act: -0.0002

Data Index: 712015 (C4 (Web Text))

Max Activating Token Index: 133

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Truncated

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Text #4

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 325177 (C4 (Web Text))

Max Activating Token Index: 30

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Truncated

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Text #5

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1105471 (C4 (Web Text))

Max Activating Token Index: 817

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Text #6

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Data Index: 1520744 (Python Code)

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Text #7

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Data Index: 867633 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 547907 (C4 (Web Text))

Max Activating Token Index: 963

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Text #9

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 745160 (C4 (Web Text))

Max Activating Token Index: 352

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Truncated

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Text #10

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Data Index: 436123 (C4 (Web Text))

Max Activating Token Index: 14

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Truncated

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Text #11

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Data Index: 334799 (C4 (Web Text))

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Text #12

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Data Index: 695302 (C4 (Web Text))

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Truncated

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Text #13

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Data Index: 1524619 (Python Code)

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Text #14

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Data Index: 232839 (C4 (Web Text))

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Text #15

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Data Index: 431655 (C4 (Web Text))

Max Activating Token Index: 9

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Text #16

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Data Index: 19897 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 285022 (C4 (Web Text))

Max Activating Token Index: 920

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Text #18

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1313268 (C4 (Web Text))

Max Activating Token Index: 10

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Truncated

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Text #19

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Data Index: 1237616 (C4 (Web Text))

Max Activating Token Index: 112

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