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

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

Neuron 119 in Layer 2

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



Text #0

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Max Act: 0.0898. Min Act: -0.0002

Data Index: 1281754 (C4 (Web Text))

Max Activating Token Index: 343

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Truncated

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Text #1

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Max Act: 0.0781. Min Act: -0.0002

Data Index: 289372 (C4 (Web Text))

Max Activating Token Index: 636

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Truncated

Full Text #1


Text #2

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Max Act: 0.0617. Min Act: -0.0002

Data Index: 870038 (C4 (Web Text))

Max Activating Token Index: 685

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Text #3

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Max Act: 0.0652. Min Act: -0.0002

Data Index: 1220082 (C4 (Web Text))

Max Activating Token Index: 42

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Truncated

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Text #4

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Data Index: 420486 (C4 (Web Text))

Max Activating Token Index: 600

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Truncated

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Text #5

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Data Index: 1506544 (Python Code)

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Text #6

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Data Index: 651307 (C4 (Web Text))

Max Activating Token Index: 482

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Truncated

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Text #7

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Data Index: 1491540 (Python Code)

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Truncated

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Text #8

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Data Index: 511830 (C4 (Web Text))

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Text #9

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Data Index: 1089351 (C4 (Web Text))

Max Activating Token Index: 835

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Truncated

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Text #10

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Data Index: 136923 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 32581 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1309939 (C4 (Web Text))

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Truncated

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Text #13

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Data Index: 859858 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1254878 (C4 (Web Text))

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Truncated

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Text #15

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Data Index: 1447813 (Python Code)

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Truncated

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Text #16

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Data Index: 35115 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0565. Min Act: -0.0002

Data Index: 348514 (C4 (Web Text))

Max Activating Token Index: 454

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Truncated

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Text #18

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Max Act: 0.0583. Min Act: -0.0002

Data Index: 1109246 (C4 (Web Text))

Max Activating Token Index: 234

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Truncated

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Text #19

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Data Index: 663358 (C4 (Web Text))

Max Activating Token Index: 323

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