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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1666 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0555. Min Act: -0.0001

Data Index: 879466 (C4 (Web Text))

Max Activating Token Index: 498

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Truncated

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Text #1

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Max Act: 0.0616. Min Act: -0.0001

Data Index: 7403 (C4 (Web Text))

Max Activating Token Index: 457

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Truncated

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Text #2

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Max Act: 0.0524. Min Act: -0.0002

Data Index: 1337751 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #3

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Max Act: 0.0514. Min Act: -0.0001

Data Index: 1604611 (Python Code)

Max Activating Token Index: 900

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Truncated

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Text #4

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Data Index: 1236410 (C4 (Web Text))

Max Activating Token Index: 209

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Truncated

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Text #5

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Data Index: 858191 (C4 (Web Text))

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Text #6

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Data Index: 356709 (C4 (Web Text))

Max Activating Token Index: 530

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Text #7

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Data Index: 655003 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 262041 (C4 (Web Text))

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Text #9

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Data Index: 376780 (C4 (Web Text))

Max Activating Token Index: 478

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Truncated

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Text #10

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Data Index: 1034602 (C4 (Web Text))

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Text #11

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Data Index: 1434928 (Python Code)

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Text #12

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Data Index: 1263204 (C4 (Web Text))

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Text #13

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Data Index: 30340 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 865172 (C4 (Web Text))

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Text #15

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Data Index: 494835 (C4 (Web Text))

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Text #16

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Data Index: 536578 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 1228395 (C4 (Web Text))

Max Activating Token Index: 435

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Text #18

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Max Act: 0.0477. Min Act: -0.0001

Data Index: 678507 (C4 (Web Text))

Max Activating Token Index: 666

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Truncated

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Text #19

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Data Index: 405795 (C4 (Web Text))

Max Activating Token Index: 493

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