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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 683 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 808627 (C4 (Web Text))

Max Activating Token Index: 162

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Text #1

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Data Index: 1103577 (C4 (Web Text))

Max Activating Token Index: 482

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Text #2

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1583758 (Python Code)

Max Activating Token Index: 403

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Text #3

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 608106 (C4 (Web Text))

Max Activating Token Index: 923

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Text #4

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1439724 (Python Code)

Max Activating Token Index: 546

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Text #5

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1177143 (C4 (Web Text))

Max Activating Token Index: 21

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Text #6

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Data Index: 1100173 (C4 (Web Text))

Max Activating Token Index: 219

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Text #7

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Data Index: 1120623 (C4 (Web Text))

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Text #8

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Data Index: 1189855 (C4 (Web Text))

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Text #9

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Data Index: 1492753 (Python Code)

Max Activating Token Index: 331

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Text #10

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Data Index: 118314 (C4 (Web Text))

Max Activating Token Index: 571

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Text #11

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Data Index: 432169 (C4 (Web Text))

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Text #12

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Data Index: 1075088 (C4 (Web Text))

Max Activating Token Index: 22

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Text #13

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Data Index: 1110379 (C4 (Web Text))

Max Activating Token Index: 464

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Text #14

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Data Index: 1291792 (C4 (Web Text))

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Text #15

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Data Index: 412422 (C4 (Web Text))

Max Activating Token Index: 97

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Text #16

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Data Index: 697115 (C4 (Web Text))

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Text #17

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 90241 (C4 (Web Text))

Max Activating Token Index: 442

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Text #18

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Max Act: 0.0177. Min Act: -0.0002

Data Index: 248610 (C4 (Web Text))

Max Activating Token Index: 9

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Text #19

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 1126115 (C4 (Web Text))

Max Activating Token Index: 689

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