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

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

Neuron 40 in Layer 0

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

Text #0

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Max Act: 0.0162. Min Act: -0.0005

Data Index: 344946 (C4 (Web Text))

Max Activating Token Index: 304

Text #1

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Data Index: 1111117 (C4 (Web Text))

Max Activating Token Index: 400

Text #2

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Max Act: 0.0161. Min Act: -0.0006

Data Index: 4608 (C4 (Web Text))

Max Activating Token Index: 313

Text #3

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 480791 (C4 (Web Text))

Max Activating Token Index: 339

Text #4

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Data Index: 1338825 (C4 (Web Text))

Max Activating Token Index: 44

Text #5

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Data Index: 44472 (C4 (Web Text))

Max Activating Token Index: 301

Text #6

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Max Activating Token Index: 401

Text #7

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Max Activating Token Index: 228

Text #8

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Max Activating Token Index: 276

Text #9

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Data Index: 701781 (C4 (Web Text))

Max Activating Token Index: 497

Text #10

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Text #11

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Max Activating Token Index: 515

Text #12

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Max Activating Token Index: 180

Text #13

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Max Activating Token Index: 19

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: 179

Text #18

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Max Activating Token Index: 537

Text #19

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Data Index: 1007523 (C4 (Web Text))

Max Activating Token Index: 152