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

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

Neuron 1104 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: 1195615 (C4 (Web Text))

Max Activating Token Index: 319

Text #1

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Max Activating Token Index: 619

Text #2

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Max Activating Token Index: 708

Text #3

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Max Act: 0.0216. Min Act: -0.0006

Data Index: 697303 (C4 (Web Text))

Max Activating Token Index: 709

Text #4

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Data Index: 516429 (C4 (Web Text))

Max Activating Token Index: 201

Text #5

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Data Index: 749038 (C4 (Web Text))

Max Activating Token Index: 544

Text #6

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Text #7

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Max Activating Token Index: 751

Text #8

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Max Activating Token Index: 723

Text #9

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Max Activating Token Index: 242

Text #10

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Max Activating Token Index: 452

Text #11

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Max Activating Token Index: 658

Text #12

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Max Activating Token Index: 210

Text #13

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Max Activating Token Index: 230

Text #14

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Max Activating Token Index: 505

Text #15

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Text #16

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Max Activating Token Index: 225

Text #17

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Max Activating Token Index: 126

Text #18

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Max Activating Token Index: 466

Text #19

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Data Index: 185268 (C4 (Web Text))

Max Activating Token Index: 317