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

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

Neuron 1029 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: 805901 (C4 (Web Text))

Max Activating Token Index: 750

Text #1

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Max Activating Token Index: 559

Text #2

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Max Activating Token Index: 880

Text #3

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Data Index: 1112783 (C4 (Web Text))

Max Activating Token Index: 480

Text #4

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Data Index: 208212 (C4 (Web Text))

Max Activating Token Index: 894

Text #5

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Max Activating Token Index: 414

Text #6

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Text #7

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Text #9

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Max Activating Token Index: 939

Text #10

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Max Activating Token Index: 303

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Text #12

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Max Activating Token Index: 642

Text #13

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Max Activating Token Index: 219

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: 849384 (C4 (Web Text))

Max Activating Token Index: 337