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

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

Neuron 3642 in Layer 1

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: 0.0324. Min Act: -0.0003

Data Index: 1622462 (Python Code)

Max Activating Token Index: 761

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Text #1

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1148571 (C4 (Web Text))

Max Activating Token Index: 437

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Text #2

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Max Act: 0.0298. Min Act: -0.0003

Data Index: 1021139 (C4 (Web Text))

Max Activating Token Index: 38

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Text #3

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Max Act: 0.0305. Min Act: -0.0002

Data Index: 242126 (C4 (Web Text))

Max Activating Token Index: 717

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Truncated

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Text #4

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Data Index: 1276050 (C4 (Web Text))

Max Activating Token Index: 474

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Text #5

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Data Index: 583843 (C4 (Web Text))

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Text #6

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Data Index: 786424 (C4 (Web Text))

Max Activating Token Index: 518

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Text #7

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Truncated

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Text #8

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Data Index: 1065248 (C4 (Web Text))

Max Activating Token Index: 607

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Text #9

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Data Index: 234693 (C4 (Web Text))

Max Activating Token Index: 27

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Text #10

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Data Index: 805056 (C4 (Web Text))

Max Activating Token Index: 717

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Truncated

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Text #11

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Text #12

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Data Index: 1191629 (C4 (Web Text))

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Text #13

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Data Index: 917142 (C4 (Web Text))

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Text #14

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Data Index: 583452 (C4 (Web Text))

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Text #15

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Data Index: 503284 (C4 (Web Text))

Max Activating Token Index: 825

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Text #16

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Text #17

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Data Index: 1010533 (C4 (Web Text))

Max Activating Token Index: 376

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Text #18

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 113558 (C4 (Web Text))

Max Activating Token Index: 45

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Truncated

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Text #19

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Data Index: 1332114 (C4 (Web Text))

Max Activating Token Index: 841

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