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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1955 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.1749. Min Act: -0.0003

Data Index: 1280844 (C4 (Web Text))

Max Activating Token Index: 30

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Text #1

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Max Act: 0.1651. Min Act: -0.0003

Data Index: 951336 (C4 (Web Text))

Max Activating Token Index: 404

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Truncated

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Text #2

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Max Act: 0.1622. Min Act: -0.0003

Data Index: 590354 (C4 (Web Text))

Max Activating Token Index: 254

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Text #3

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Max Act: 0.1595. Min Act: -0.0003

Data Index: 1084370 (C4 (Web Text))

Max Activating Token Index: 820

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Truncated

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Text #4

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Max Act: 0.1501. Min Act: -0.0003

Data Index: 140448 (C4 (Web Text))

Max Activating Token Index: 210

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Truncated

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Text #5

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Data Index: 1211163 (C4 (Web Text))

Max Activating Token Index: 256

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Text #6

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Data Index: 707042 (C4 (Web Text))

Max Activating Token Index: 972

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Text #7

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Data Index: 895726 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 136117 (C4 (Web Text))

Max Activating Token Index: 633

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Text #9

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Data Index: 1527378 (Python Code)

Max Activating Token Index: 919

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Text #10

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Data Index: 895077 (C4 (Web Text))

Max Activating Token Index: 806

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Text #11

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Data Index: 643849 (C4 (Web Text))

Max Activating Token Index: 939

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Text #12

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Data Index: 189355 (C4 (Web Text))

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Text #13

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Data Index: 36403 (C4 (Web Text))

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Text #14

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Data Index: 1482269 (Python Code)

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Text #15

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Data Index: 912526 (C4 (Web Text))

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Text #16

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Data Index: 1089396 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.1221. Min Act: -0.0003

Data Index: 118540 (C4 (Web Text))

Max Activating Token Index: 843

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Text #18

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Data Index: 1228038 (C4 (Web Text))

Max Activating Token Index: 538

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Text #19

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Data Index: 1507054 (Python Code)

Max Activating Token Index: 419

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