Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 615 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0224. Min Act: -0.0004

Data Index: 1063472 (C4 (Web Text))

Max Activating Token Index: 495

Text #1

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Max Act: 0.0232. Min Act: -0.0004

Data Index: 1078393 (C4 (Web Text))

Max Activating Token Index: 690

Text #2

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Max Act: 0.0211. Min Act: -0.0004

Data Index: 1291030 (C4 (Web Text))

Max Activating Token Index: 426

Text #3

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Max Act: 0.0221. Min Act: -0.0004

Data Index: 235859 (C4 (Web Text))

Max Activating Token Index: 426

Text #4

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Max Act: 0.0216. Min Act: -0.0004

Data Index: 247655 (C4 (Web Text))

Max Activating Token Index: 913

Text #5

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Data Index: 1157246 (C4 (Web Text))

Max Activating Token Index: 528

Text #6

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Max Activating Token Index: 34

Text #7

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Max Activating Token Index: 819

Text #8

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Data Index: 27110 (C4 (Web Text))

Max Activating Token Index: 570

Text #9

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Data Index: 617735 (C4 (Web Text))

Max Activating Token Index: 537

Text #10

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Data Index: 1315017 (C4 (Web Text))

Max Activating Token Index: 517

Text #11

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Data Index: 72840 (C4 (Web Text))

Max Activating Token Index: 252

Text #12

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Max Activating Token Index: 746

Text #13

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Data Index: 1070273 (C4 (Web Text))

Max Activating Token Index: 748

Text #14

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Max Activating Token Index: 355

Text #15

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Max Activating Token Index: 554

Text #16

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Max Activating Token Index: 611

Text #17

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Max Activating Token Index: 116

Text #18

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Max Activating Token Index: 32

Text #19

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Data Index: 414855 (C4 (Web Text))

Max Activating Token Index: 252