Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1024 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0235. Min Act: -0.0003

Data Index: 503663 (C4 (Web Text))

Max Activating Token Index: 757

Text #1

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Max Activating Token Index: 325

Text #2

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Max Activating Token Index: 732

Text #3

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 257608 (C4 (Web Text))

Max Activating Token Index: 658

Text #4

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Max Activating Token Index: 171

Text #5

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Max Activating Token Index: 981

Text #6

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Max Activating Token Index: 340

Text #7

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Max Activating Token Index: 742

Text #8

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Text #9

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Max Activating Token Index: 796

Text #10

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Max Activating Token Index: 805

Text #11

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Max Activating Token Index: 589

Text #12

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Max Activating Token Index: 985

Text #13

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Max Activating Token Index: 881

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 561

Text #17

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Max Activating Token Index: 693

Text #18

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Max Activating Token Index: 633

Text #19

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Data Index: 89814 (C4 (Web Text))

Max Activating Token Index: 934