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

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

Neuron 1085 in Layer 2

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: 0.2559. Min Act: -0.0002

Data Index: 819726 (C4 (Web Text))

Max Activating Token Index: 177

Text #1

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Max Act: 0.2543. Min Act: -0.0002

Data Index: 261537 (C4 (Web Text))

Max Activating Token Index: 136

Text #2

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Max Act: 0.2725. Min Act: -0.0002

Data Index: 970925 (C4 (Web Text))

Max Activating Token Index: 610

Text #3

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Data Index: 1264077 (C4 (Web Text))

Max Activating Token Index: 672

Text #4

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Data Index: 609896 (C4 (Web Text))

Max Activating Token Index: 698

Text #5

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Data Index: 1030133 (C4 (Web Text))

Max Activating Token Index: 298

Text #6

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Max Activating Token Index: 726

Text #7

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Data Index: 446273 (C4 (Web Text))

Max Activating Token Index: 421

Text #8

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Max Activating Token Index: 580

Text #9

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Max Activating Token Index: 213

Text #10

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Data Index: 126708 (C4 (Web Text))

Max Activating Token Index: 631

Text #11

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Data Index: 87402 (C4 (Web Text))

Max Activating Token Index: 316

Text #12

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Max Activating Token Index: 497

Text #13

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Max Activating Token Index: 500

Text #14

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Data Index: 549648 (C4 (Web Text))

Max Activating Token Index: 292

Text #15

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Max Activating Token Index: 320

Text #16

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Text #17

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Max Activating Token Index: 222

Text #18

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Data Index: 1351377 (C4 (Web Text))

Max Activating Token Index: 376

Text #19

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Data Index: 234206 (C4 (Web Text))

Max Activating Token Index: 436