Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 208 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 640408 (C4 (Web Text))

Max Activating Token Index: 97

Text #1

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Max Activating Token Index: 703

Text #2

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Max Act: 0.0425. Min Act: -0.0003

Data Index: 487665 (C4 (Web Text))

Max Activating Token Index: 723

Text #3

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 1285706 (C4 (Web Text))

Max Activating Token Index: 295

Text #4

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Max Activating Token Index: 644

Text #5

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Max Activating Token Index: 990

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 463

Text #11

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Max Activating Token Index: 181

Text #12

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Max Activating Token Index: 451

Text #13

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Max Activating Token Index: 332

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 192843 (C4 (Web Text))

Max Activating Token Index: 38