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

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

Neuron 1380 in Layer 1

Load this data into an Interactive Neuroscope

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

Text #0

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Data Index: 893093 (C4 (Web Text))

Max Activating Token Index: 78

Text #1

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Data Index: 1267121 (C4 (Web Text))

Max Activating Token Index: 900

Text #2

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Data Index: 98351 (C4 (Web Text))

Max Activating Token Index: 521

Text #3

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Data Index: 1286192 (C4 (Web Text))

Max Activating Token Index: 836

Text #4

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Max Activating Token Index: 912

Text #5

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Data Index: 613180 (C4 (Web Text))

Max Activating Token Index: 418

Text #6

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Max Activating Token Index: 312

Text #7

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Max Activating Token Index: 301

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Max Activating Token Index: 787

Text #9

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Max Activating Token Index: 205

Text #10

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Data Index: 991967 (C4 (Web Text))

Max Activating Token Index: 502

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Max Activating Token Index: 508

Text #12

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Max Activating Token Index: 565

Text #13

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Data Index: 97686 (C4 (Web Text))

Max Activating Token Index: 30

Text #14

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Max Activating Token Index: 517

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 307

Text #18

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Text #19

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Data Index: 1011554 (C4 (Web Text))

Max Activating Token Index: 541