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

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

Neuron 80 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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Max Act: 0.0600. Min Act: -0.0002

Data Index: 100764 (C4 (Web Text))

Max Activating Token Index: 874

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Text #1

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Data Index: 311608 (C4 (Web Text))

Max Activating Token Index: 850

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Text #2

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Data Index: 307792 (C4 (Web Text))

Max Activating Token Index: 17

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Text #3

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Data Index: 192048 (C4 (Web Text))

Max Activating Token Index: 804

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Text #4

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Data Index: 676668 (C4 (Web Text))

Max Activating Token Index: 33

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Text #5

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Data Index: 1209081 (C4 (Web Text))

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Text #6

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Data Index: 427869 (C4 (Web Text))

Max Activating Token Index: 381

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Text #7

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Text #8

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Data Index: 1352407 (C4 (Web Text))

Max Activating Token Index: 853

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Text #9

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Data Index: 296672 (C4 (Web Text))

Max Activating Token Index: 314

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Text #10

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Text #11

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Text #12

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Text #13

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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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Data Index: 375810 (C4 (Web Text))

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Text #19

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Data Index: 725972 (C4 (Web Text))

Max Activating Token Index: 112

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