Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1721 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 782588 (C4 (Web Text))

Max Activating Token Index: 323

Text #1

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Max Activating Token Index: 516

Text #2

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Max Activating Token Index: 735

Text #3

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Data Index: 260451 (C4 (Web Text))

Max Activating Token Index: 17

Text #4

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Max Activating Token Index: 784

Text #5

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Max Activating Token Index: 695

Text #6

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Max Activating Token Index: 411

Text #7

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Text #8

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Max Activating Token Index: 384

Text #9

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Max Activating Token Index: 480

Text #10

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Max Activating Token Index: 978

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Max Activating Token Index: 244

Text #12

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Max Activating Token Index: 549

Text #13

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Max Activating Token Index: 750

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: 423

Text #18

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Text #19

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Data Index: 460260 (C4 (Web Text))

Max Activating Token Index: 285