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

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

Neuron 3220 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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Data Index: 1081214 (C4 (Web Text))

Max Activating Token Index: 1014

Text #1

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Max Activating Token Index: 341

Text #2

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Max Activating Token Index: 196

Text #3

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Max Activating Token Index: 705

Text #4

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Max Activating Token Index: 933

Text #5

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Max Activating Token Index: 796

Text #6

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Max Activating Token Index: 741

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 660

Text #10

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Max Activating Token Index: 806

Text #11

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Max Activating Token Index: 680

Text #12

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Max Activating Token Index: 447

Text #13

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Max Activating Token Index: 601

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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Text #19

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Data Index: 1280860 (C4 (Web Text))

Max Activating Token Index: 939