Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2081 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0729. Min Act: -0.0002

Data Index: 303359 (C4 (Web Text))

Max Activating Token Index: 397

Text #1

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Data Index: 1133545 (C4 (Web Text))

Max Activating Token Index: 135

Text #2

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Max Act: 0.0700. Min Act: -0.0002

Data Index: 555872 (C4 (Web Text))

Max Activating Token Index: 591

Text #3

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Max Act: 0.0688. Min Act: -0.0002

Data Index: 1275074 (C4 (Web Text))

Max Activating Token Index: 671

Text #4

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Data Index: 170646 (C4 (Web Text))

Max Activating Token Index: 738

Text #5

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Data Index: 754087 (C4 (Web Text))

Max Activating Token Index: 235

Text #6

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Data Index: 509380 (C4 (Web Text))

Max Activating Token Index: 429

Text #7

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Max Activating Token Index: 642

Text #8

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Max Activating Token Index: 168

Text #9

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Max Activating Token Index: 265

Text #10

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Data Index: 456939 (C4 (Web Text))

Max Activating Token Index: 716

Text #11

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Data Index: 941261 (C4 (Web Text))

Max Activating Token Index: 92

Text #12

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Max Activating Token Index: 292

Text #13

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Max Activating Token Index: 515

Text #14

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Text #15

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Max Activating Token Index: 631

Text #16

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Max Activating Token Index: 392

Text #17

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Max Activating Token Index: 413

Text #18

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Max Activating Token Index: 650

Text #19

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Data Index: 1207475 (C4 (Web Text))

Max Activating Token Index: 985