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

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

Neuron 985 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0516. Min Act: -0.0002

Data Index: 199895 (C4 (Web Text))

Max Activating Token Index: 144

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Text #1

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Data Index: 328308 (C4 (Web Text))

Max Activating Token Index: 535

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Text #2

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 535932 (C4 (Web Text))

Max Activating Token Index: 743

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Text #3

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Max Act: 0.0482. Min Act: -0.0002

Data Index: 1142254 (C4 (Web Text))

Max Activating Token Index: 62

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Text #4

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Data Index: 1542462 (Python Code)

Max Activating Token Index: 591

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Text #5

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Data Index: 908469 (C4 (Web Text))

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Text #6

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Data Index: 960418 (C4 (Web Text))

Max Activating Token Index: 592

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Text #7

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Data Index: 52744 (C4 (Web Text))

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Text #8

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Data Index: 756540 (C4 (Web Text))

Max Activating Token Index: 452

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Text #9

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Data Index: 1646637 (Python Code)

Max Activating Token Index: 645

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Text #10

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Data Index: 352739 (C4 (Web Text))

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Text #11

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Data Index: 1192021 (C4 (Web Text))

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Text #12

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Data Index: 1206023 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1619948 (Python Code)

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Text #15

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Data Index: 208535 (C4 (Web Text))

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Text #16

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Data Index: 670706 (C4 (Web Text))

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Text #17

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Max Act: 0.0434. Min Act: -0.0002

Data Index: 1217720 (C4 (Web Text))

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Text #18

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Data Index: 164429 (C4 (Web Text))

Max Activating Token Index: 547

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Text #19

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Data Index: 508656 (C4 (Web Text))

Max Activating Token Index: 642

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