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

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

Neuron 1070 in Layer 4

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: 0.0882. Min Act: -0.0001

Data Index: 710171 (C4 (Web Text))

Max Activating Token Index: 912

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Text #1

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Max Act: 0.0905. Min Act: -0.0001

Data Index: 574206 (C4 (Web Text))

Max Activating Token Index: 502

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Truncated

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Text #2

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Max Act: 0.0906. Min Act: -0.0001

Data Index: 386566 (C4 (Web Text))

Max Activating Token Index: 574

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Text #3

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Max Act: 0.0925. Min Act: -0.0001

Data Index: 1213519 (C4 (Web Text))

Max Activating Token Index: 784

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Truncated

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Text #4

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Max Act: 0.0919. Min Act: -0.0001

Data Index: 1538616 (Python Code)

Max Activating Token Index: 162

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Text #5

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Data Index: 1338498 (C4 (Web Text))

Max Activating Token Index: 401

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Text #6

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Data Index: 1152289 (C4 (Web Text))

Max Activating Token Index: 198

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Text #7

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Data Index: 1614529 (Python Code)

Max Activating Token Index: 235

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Text #8

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Data Index: 705954 (C4 (Web Text))

Max Activating Token Index: 434

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Text #9

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Data Index: 1315325 (C4 (Web Text))

Max Activating Token Index: 557

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Text #10

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Data Index: 800269 (C4 (Web Text))

Max Activating Token Index: 361

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Text #11

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Data Index: 622878 (C4 (Web Text))

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Text #12

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Data Index: 319184 (C4 (Web Text))

Max Activating Token Index: 472

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Text #13

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Data Index: 1005930 (C4 (Web Text))

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Text #14

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Data Index: 818798 (C4 (Web Text))

Max Activating Token Index: 863

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Text #15

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Data Index: 240895 (C4 (Web Text))

Max Activating Token Index: 896

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Text #16

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Data Index: 620415 (C4 (Web Text))

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Text #17

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Max Act: 0.0783. Min Act: -0.0001

Data Index: 1006162 (C4 (Web Text))

Max Activating Token Index: 426

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Text #18

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Max Act: 0.0813. Min Act: -0.0001

Data Index: 252532 (C4 (Web Text))

Max Activating Token Index: 381

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Text #19

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Max Act: 0.0843. Min Act: -0.0001

Data Index: 630170 (C4 (Web Text))

Max Activating Token Index: 759

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