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

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

Neuron 1803 in Layer 9

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: 0.9141. Min Act: -0.0000

Data Index: 160265 (C4 (Web Text))

Max Activating Token Index: 842

Text #1

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Data Index: 98817 (C4 (Web Text))

Max Activating Token Index: 424

Text #2

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Data Index: 1621628 (Python Code)

Max Activating Token Index: 349

Text #3

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Data Index: 1229802 (C4 (Web Text))

Max Activating Token Index: 667

Text #4

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Data Index: 534166 (C4 (Web Text))

Max Activating Token Index: 413

Text #5

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Data Index: 1527671 (Python Code)

Max Activating Token Index: 448

Text #6

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Max Activating Token Index: 139

Text #7

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Max Activating Token Index: 507

Text #8

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Max Activating Token Index: 527

Text #9

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Data Index: 192934 (C4 (Web Text))

Max Activating Token Index: 188

Text #10

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Data Index: 1523436 (Python Code)

Max Activating Token Index: 617

Text #11

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Max Activating Token Index: 669

Text #12

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Max Activating Token Index: 477

Text #13

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Data Index: 1530834 (Python Code)

Max Activating Token Index: 420

Text #14

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Data Index: 1128895 (C4 (Web Text))

Max Activating Token Index: 1017

Text #15

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Text #16

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Text #17

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Data Index: 61585 (C4 (Web Text))

Max Activating Token Index: 176

Text #18

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Max Activating Token Index: 1012

Text #19

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Data Index: 8684 (C4 (Web Text))

Max Activating Token Index: 795