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

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

Neuron 4180 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: 0.0539. Min Act: -0.0002

Data Index: 898162 (C4 (Web Text))

Max Activating Token Index: 669

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Text #1

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Data Index: 1035275 (C4 (Web Text))

Max Activating Token Index: 627

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Text #2

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Max Act: 0.0438. Min Act: -0.0002

Data Index: 318004 (C4 (Web Text))

Max Activating Token Index: 382

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Text #3

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 3657 (C4 (Web Text))

Max Activating Token Index: 576

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Text #4

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Data Index: 711335 (C4 (Web Text))

Max Activating Token Index: 752

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Text #5

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Data Index: 410159 (C4 (Web Text))

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Text #6

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Data Index: 1036432 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1390340 (Python Code)

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Text #9

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Data Index: 1082296 (C4 (Web Text))

Max Activating Token Index: 760

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Text #10

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Data Index: 577641 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 1527027 (Python Code)

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Text #15

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Data Index: 363696 (C4 (Web Text))

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Text #16

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Data Index: 1544973 (Python Code)

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Text #17

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Data Index: 208232 (C4 (Web Text))

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Text #18

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Data Index: 204215 (C4 (Web Text))

Max Activating Token Index: 446

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Text #19

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Data Index: 1121920 (C4 (Web Text))

Max Activating Token Index: 482

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