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

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

Neuron 1067 in Layer 7

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: 2.2363. Min Act: -0.0000

Data Index: 96405 (C4 (Web Text))

Max Activating Token Index: 613

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Text #1

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Data Index: 802686 (C4 (Web Text))

Max Activating Token Index: 736

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Text #2

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Max Act: 2.1883. Min Act: -0.0000

Data Index: 387834 (C4 (Web Text))

Max Activating Token Index: 517

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Text #3

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Max Act: 2.0981. Min Act: -0.0000

Data Index: 1250724 (C4 (Web Text))

Max Activating Token Index: 514

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Text #4

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Max Act: 2.0010. Min Act: -0.0000

Data Index: 640618 (C4 (Web Text))

Max Activating Token Index: 671

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Text #5

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Data Index: 281180 (C4 (Web Text))

Max Activating Token Index: 793

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Text #6

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Data Index: 1338941 (C4 (Web Text))

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Text #7

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Data Index: 851751 (C4 (Web Text))

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Text #8

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Data Index: 128156 (C4 (Web Text))

Max Activating Token Index: 534

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Text #9

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Data Index: 310157 (C4 (Web Text))

Max Activating Token Index: 961

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Text #10

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Text #11

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Text #12

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Text #13

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Data Index: 868823 (C4 (Web Text))

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Text #14

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Data Index: 1502962 (Python Code)

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Text #15

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Data Index: 400333 (C4 (Web Text))

Max Activating Token Index: 909

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Text #16

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Data Index: 446216 (C4 (Web Text))

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Text #17

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Max Act: 1.8594. Min Act: -0.0001

Data Index: 1525516 (Python Code)

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Text #18

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Data Index: 600671 (C4 (Web Text))

Max Activating Token Index: 315

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Text #19

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Data Index: 856542 (C4 (Web Text))

Max Activating Token Index: 923

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