Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1910 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0669. Min Act: -0.0002

Data Index: 561595 (C4 (Web Text))

Max Activating Token Index: 880

Text #1

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Max Activating Token Index: 659

Text #2

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Max Activating Token Index: 891

Text #3

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Max Act: 0.0654. Min Act: -0.0002

Data Index: 920654 (C4 (Web Text))

Max Activating Token Index: 636

Text #4

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Data Index: 853597 (C4 (Web Text))

Max Activating Token Index: 881

Text #5

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Max Activating Token Index: 743

Text #6

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Max Activating Token Index: 808

Text #7

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Max Activating Token Index: 958

Text #8

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Max Activating Token Index: 798

Text #9

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Max Activating Token Index: 829

Text #10

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Max Activating Token Index: 111

Text #11

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Max Activating Token Index: 757

Text #12

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Max Activating Token Index: 380

Text #13

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Max Activating Token Index: 758

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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Max Activating Token Index: 763

Text #19

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Data Index: 570738 (C4 (Web Text))

Max Activating Token Index: 1021