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

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

Neuron 2053 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: 0.0241. Min Act: -0.0002

Data Index: 297618 (C4 (Web Text))

Max Activating Token Index: 838

Text #1

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Max Activating Token Index: 587

Text #2

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Data Index: 775074 (C4 (Web Text))

Max Activating Token Index: 543

Text #3

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Data Index: 773503 (C4 (Web Text))

Max Activating Token Index: 863

Text #4

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Data Index: 495951 (C4 (Web Text))

Max Activating Token Index: 513

Text #5

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Data Index: 551976 (C4 (Web Text))

Max Activating Token Index: 349

Text #6

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Max Activating Token Index: 305

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Max Activating Token Index: 454

Text #8

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Max Activating Token Index: 325

Text #9

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Text #10

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Max Activating Token Index: 702

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Max Activating Token Index: 584

Text #12

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Max Activating Token Index: 984

Text #13

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Data Index: 398489 (C4 (Web Text))

Max Activating Token Index: 351

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 875

Text #19

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Data Index: 599383 (C4 (Web Text))

Max Activating Token Index: 280