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

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

Neuron 1217 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: 0.0635. Min Act: -0.0002

Data Index: 1314816 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #1

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Data Index: 951955 (C4 (Web Text))

Max Activating Token Index: 178

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Text #2

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Max Act: 0.0592. Min Act: -0.0002

Data Index: 233078 (C4 (Web Text))

Max Activating Token Index: 911

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Text #3

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Max Act: 0.0588. Min Act: -0.0002

Data Index: 564831 (C4 (Web Text))

Max Activating Token Index: 60

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Text #4

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Data Index: 356981 (C4 (Web Text))

Max Activating Token Index: 237

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Text #5

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Data Index: 488477 (C4 (Web Text))

Max Activating Token Index: 984

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Text #6

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Data Index: 836154 (C4 (Web Text))

Max Activating Token Index: 383

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Text #7

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Data Index: 104621 (C4 (Web Text))

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Text #8

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Data Index: 1557710 (Python Code)

Max Activating Token Index: 736

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Text #9

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Data Index: 1179918 (C4 (Web Text))

Max Activating Token Index: 487

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Text #10

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Data Index: 1558279 (Python Code)

Max Activating Token Index: 903

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Text #11

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Data Index: 782862 (C4 (Web Text))

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Text #12

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Data Index: 364305 (C4 (Web Text))

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Text #13

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Data Index: 1242715 (C4 (Web Text))

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Text #14

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Data Index: 762614 (C4 (Web Text))

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Text #15

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Data Index: 1980 (C4 (Web Text))

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Text #16

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Data Index: 418543 (C4 (Web Text))

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Text #17

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Max Act: 0.0594. Min Act: -0.0002

Data Index: 1074475 (C4 (Web Text))

Max Activating Token Index: 723

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Text #18

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Data Index: 1393729 (Python Code)

Max Activating Token Index: 725

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Text #19

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Data Index: 1290579 (C4 (Web Text))

Max Activating Token Index: 497

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