Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 2039 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 267916 (C4 (Web Text))

Max Activating Token Index: 323

Text #1

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Max Activating Token Index: 570

Text #2

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Max Act: 0.0372. Min Act: -0.0004

Data Index: 476888 (C4 (Web Text))

Max Activating Token Index: 954

Text #3

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Max Act: 0.0366. Min Act: -0.0003

Data Index: 1000980 (C4 (Web Text))

Max Activating Token Index: 115

Text #4

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Data Index: 608771 (C4 (Web Text))

Max Activating Token Index: 537

Text #5

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Max Activating Token Index: 986

Text #6

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Max Activating Token Index: 340

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Max Activating Token Index: 385

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Max Activating Token Index: 866

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Max Activating Token Index: 376

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Max Activating Token Index: 587

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Max Activating Token Index: 402

Text #13

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Max Activating Token Index: 713

Text #14

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1262150 (C4 (Web Text))

Max Activating Token Index: 159