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

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

Neuron 2733 in Layer 0

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

Text #0

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Max Act: 0.0068. Min Act: -0.0003

Data Index: 390958 (C4 (Web Text))

Max Activating Token Index: 401

Text #1

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Data Index: 741731 (C4 (Web Text))

Max Activating Token Index: 398

Text #2

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 1011725 (C4 (Web Text))

Max Activating Token Index: 348

Text #3

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Max Act: 0.0056. Min Act: -0.0003

Data Index: 1129276 (C4 (Web Text))

Max Activating Token Index: 479

Text #4

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Max Act: 0.0055. Min Act: -0.0004

Data Index: 649373 (C4 (Web Text))

Max Activating Token Index: 443

Text #5

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Max Activating Token Index: 410

Text #6

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Max Activating Token Index: 497

Text #7

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Text #9

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Text #10

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Max Activating Token Index: 408

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Max Activating Token Index: 434

Text #12

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Max Activating Token Index: 470

Text #13

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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: 376

Text #18

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Max Activating Token Index: 555

Text #19

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Data Index: 1181043 (C4 (Web Text))

Max Activating Token Index: 490