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

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

Neuron 1295 in Layer 1

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

Text #0

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Max Act: 0.0134. Min Act: -0.0006

Data Index: 37685 (C4 (Web Text))

Max Activating Token Index: 524

Text #1

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Max Act: 0.0134. Min Act: -0.0006

Data Index: 431481 (C4 (Web Text))

Max Activating Token Index: 593

Text #2

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 391628 (C4 (Web Text))

Max Activating Token Index: 991

Text #3

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Max Act: 0.0130. Min Act: -0.0006

Data Index: 781756 (C4 (Web Text))

Max Activating Token Index: 538

Text #4

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Max Act: 0.0136. Min Act: -0.0006

Data Index: 1311230 (C4 (Web Text))

Max Activating Token Index: 871

Text #5

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Max Act: 0.0130. Min Act: -0.0006

Data Index: 1276046 (C4 (Web Text))

Max Activating Token Index: 801

Text #6

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Data Index: 414884 (C4 (Web Text))

Max Activating Token Index: 86

Text #7

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Max Activating Token Index: 861

Text #8

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Max Activating Token Index: 898

Text #9

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Data Index: 764417 (C4 (Web Text))

Max Activating Token Index: 190

Text #10

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Max Activating Token Index: 870

Text #11

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Data Index: 1272635 (C4 (Web Text))

Max Activating Token Index: 311

Text #12

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Max Activating Token Index: 124

Text #13

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Data Index: 961604 (C4 (Web Text))

Max Activating Token Index: 944

Text #14

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Data Index: 1089755 (C4 (Web Text))

Max Activating Token Index: 422

Text #15

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Max Activating Token Index: 439

Text #16

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Max Activating Token Index: 417

Text #17

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Max Activating Token Index: 557

Text #18

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Max Activating Token Index: 512

Text #19

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 375732 (C4 (Web Text))

Max Activating Token Index: 694