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

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

Neuron 1068 in Layer 1

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: 0.0244. Min Act: -0.0003

Data Index: 676778 (C4 (Web Text))

Max Activating Token Index: 43

Text #1

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Data Index: 274528 (C4 (Web Text))

Max Activating Token Index: 347

Text #2

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Data Index: 655353 (C4 (Web Text))

Max Activating Token Index: 903

Text #3

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 429061 (C4 (Web Text))

Max Activating Token Index: 154

Text #4

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Data Index: 304275 (C4 (Web Text))

Max Activating Token Index: 75

Text #5

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Data Index: 1208880 (C4 (Web Text))

Max Activating Token Index: 72

Text #6

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Max Activating Token Index: 488

Text #7

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Max Activating Token Index: 232

Text #8

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Max Activating Token Index: 340

Text #9

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Max Activating Token Index: 333

Text #10

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Max Activating Token Index: 679

Text #11

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Max Activating Token Index: 791

Text #12

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Data Index: 100299 (C4 (Web Text))

Max Activating Token Index: 348

Text #13

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Data Index: 636440 (C4 (Web Text))

Max Activating Token Index: 73

Text #14

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Max Activating Token Index: 565

Text #15

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Text #16

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Max Activating Token Index: 536

Text #17

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Max Activating Token Index: 632

Text #18

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Max Activating Token Index: 56

Text #19

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Data Index: 48476 (C4 (Web Text))

Max Activating Token Index: 515