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

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

Neuron 1884 in Layer 4

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: 1.2294. Min Act: -0.0001

Data Index: 1340670 (C4 (Web Text))

Max Activating Token Index: 770

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Text #1

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Max Act: 1.1640. Min Act: -0.0001

Data Index: 368295 (C4 (Web Text))

Max Activating Token Index: 357

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Text #2

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Max Act: 1.1213. Min Act: -0.0001

Data Index: 89332 (C4 (Web Text))

Max Activating Token Index: 244

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Text #3

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Max Act: 1.1782. Min Act: -0.0001

Data Index: 1038540 (C4 (Web Text))

Max Activating Token Index: 61

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Text #4

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Max Act: 1.1139. Min Act: -0.0001

Data Index: 1041023 (C4 (Web Text))

Max Activating Token Index: 919

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Text #5

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Data Index: 694106 (C4 (Web Text))

Max Activating Token Index: 961

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Text #6

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Data Index: 783033 (C4 (Web Text))

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Text #7

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Data Index: 497355 (C4 (Web Text))

Max Activating Token Index: 765

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Truncated

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Text #8

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Data Index: 835179 (C4 (Web Text))

Max Activating Token Index: 365

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Text #9

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Data Index: 1523927 (Python Code)

Max Activating Token Index: 596

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Text #10

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Data Index: 122070 (C4 (Web Text))

Max Activating Token Index: 936

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Truncated

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Text #11

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Data Index: 950950 (C4 (Web Text))

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Text #12

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Data Index: 1400096 (Python Code)

Max Activating Token Index: 218

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Text #13

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Data Index: 1201747 (C4 (Web Text))

Max Activating Token Index: 181

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Text #14

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Data Index: 568128 (C4 (Web Text))

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Text #15

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Data Index: 787418 (C4 (Web Text))

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Text #16

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Data Index: 831010 (C4 (Web Text))

Max Activating Token Index: 177

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Text #17

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Max Act: 1.0350. Min Act: -0.0001

Data Index: 1238389 (C4 (Web Text))

Max Activating Token Index: 761

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Text #18

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Max Act: 1.0634. Min Act: -0.0001

Data Index: 1252608 (C4 (Web Text))

Max Activating Token Index: 649

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Text #19

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Data Index: 1131043 (C4 (Web Text))

Max Activating Token Index: 664

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