Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2026 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0501. Min Act: -0.0003

Data Index: 153392 (C4 (Web Text))

Max Activating Token Index: 280

Text #1

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Max Act: 0.0418. Min Act: -0.0003

Data Index: 1184552 (C4 (Web Text))

Max Activating Token Index: 981

Text #2

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Max Act: 0.0438. Min Act: -0.0003

Data Index: 590354 (C4 (Web Text))

Max Activating Token Index: 982

Text #3

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Max Act: 0.0420. Min Act: -0.0003

Data Index: 304052 (C4 (Web Text))

Max Activating Token Index: 317

Text #4

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 117673 (C4 (Web Text))

Max Activating Token Index: 988

Text #5

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Data Index: 1357439 (C4 (Web Text))

Max Activating Token Index: 73

Text #6

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Data Index: 790206 (C4 (Web Text))

Max Activating Token Index: 241

Text #7

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Max Activating Token Index: 389

Text #8

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Max Activating Token Index: 94

Text #9

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Max Activating Token Index: 323

Text #10

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Max Activating Token Index: 1002

Text #11

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Max Activating Token Index: 453

Text #12

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Max Activating Token Index: 503

Text #13

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Max Activating Token Index: 132

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 491

Text #18

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Data Index: 474140 (C4 (Web Text))

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Text #19

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Data Index: 925472 (C4 (Web Text))

Max Activating Token Index: 379