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

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

Neuron 2897 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: 308063 (C4 (Web Text))

Max Activating Token Index: 44

Text #1

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Max Activating Token Index: 133

Text #2

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Max Activating Token Index: 70

Text #3

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Data Index: 431925 (C4 (Web Text))

Max Activating Token Index: 314

Text #4

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Max Activating Token Index: 572

Text #5

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Text #6

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Max Activating Token Index: 639

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Max Activating Token Index: 338

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Max Activating Token Index: 477

Text #13

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Max Activating Token Index: 258

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: 1297851 (C4 (Web Text))

Max Activating Token Index: 57