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

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

Neuron 2847 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 43978 (C4 (Web Text))

Max Activating Token Index: 643

Text #1

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Max Activating Token Index: 711

Text #2

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Max Act: 0.0489. Min Act: -0.0002

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Max Activating Token Index: 564

Text #3

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Max Act: 0.0452. Min Act: -0.0002

Data Index: 663396 (C4 (Web Text))

Max Activating Token Index: 595

Text #4

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Data Index: 560986 (C4 (Web Text))

Max Activating Token Index: 244

Text #5

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Max Activating Token Index: 192

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 657

Text #9

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Max Activating Token Index: 358

Text #10

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Max Activating Token Index: 863

Text #11

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Max Activating Token Index: 231

Text #12

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Max Activating Token Index: 463

Text #13

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Max Activating Token Index: 118

Text #14

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Max Activating Token Index: 194

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 133

Text #18

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Text #19

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Data Index: 684803 (C4 (Web Text))

Max Activating Token Index: 56