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

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

Neuron 4244 in Layer 6

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: 0.0443. Min Act: -0.0000

Data Index: 767783 (C4 (Web Text))

Max Activating Token Index: 722

Text #1

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Max Activating Token Index: 897

Text #2

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Max Act: 0.0450. Min Act: -0.0000

Data Index: 365189 (C4 (Web Text))

Max Activating Token Index: 251

Text #3

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Data Index: 14120 (C4 (Web Text))

Max Activating Token Index: 895

Text #4

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Data Index: 1264192 (C4 (Web Text))

Max Activating Token Index: 129

Text #5

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Max Activating Token Index: 514

Text #6

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Data Index: 44564 (C4 (Web Text))

Max Activating Token Index: 1004

Text #7

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Data Index: 164227 (C4 (Web Text))

Max Activating Token Index: 202

Text #8

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Max Activating Token Index: 683

Text #9

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Max Activating Token Index: 1011

Text #10

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Data Index: 287894 (C4 (Web Text))

Max Activating Token Index: 538

Text #11

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Data Index: 119955 (C4 (Web Text))

Max Activating Token Index: 302

Text #12

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Max Activating Token Index: 894

Text #13

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Data Index: 236918 (C4 (Web Text))

Max Activating Token Index: 184

Text #14

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Data Index: 1626472 (Python Code)

Max Activating Token Index: 897

Text #15

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Data Index: 246530 (C4 (Web Text))

Max Activating Token Index: 204

Text #16

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Text #17

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Text #18

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Data Index: 127624 (C4 (Web Text))

Max Activating Token Index: 95

Text #19

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Data Index: 766202 (C4 (Web Text))

Max Activating Token Index: 996