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

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

Neuron 2936 in Layer 5

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: 1349908 (C4 (Web Text))

Max Activating Token Index: 273

Text #1

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Max Activating Token Index: 856

Text #2

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Max Act: 0.0630. Min Act: -0.0000

Data Index: 316482 (C4 (Web Text))

Max Activating Token Index: 323

Text #3

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Data Index: 1180780 (C4 (Web Text))

Max Activating Token Index: 747

Text #4

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Max Activating Token Index: 999

Text #5

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Max Activating Token Index: 395

Text #6

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Text #9

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Max Activating Token Index: 417

Text #10

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Max Activating Token Index: 740

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Max Activating Token Index: 944

Text #12

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Max Activating Token Index: 450

Text #13

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Data Index: 1357013 (C4 (Web Text))

Max Activating Token Index: 815

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: 586506 (C4 (Web Text))

Max Activating Token Index: 864