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

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

Neuron 1050 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: 0.0486. Min Act: -0.0003

Data Index: 1228407 (C4 (Web Text))

Max Activating Token Index: 817

Text #1

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Max Activating Token Index: 41

Text #2

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Max Activating Token Index: 852

Text #3

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Data Index: 937180 (C4 (Web Text))

Max Activating Token Index: 70

Text #4

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Data Index: 1358568 (C4 (Web Text))

Max Activating Token Index: 705

Text #5

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Max Activating Token Index: 291

Text #6

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Max Activating Token Index: 669

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 425

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 622

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 900

Text #18

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Max Activating Token Index: 416

Text #19

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Data Index: 548910 (C4 (Web Text))

Max Activating Token Index: 293