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

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

Neuron 1960 in Layer 1

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

Text #0

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Max Act: 0.0511. Min Act: -0.0003

Data Index: 1035714 (C4 (Web Text))

Max Activating Token Index: 347

Text #1

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Max Activating Token Index: 346

Text #2

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Max Act: 0.0488. Min Act: -0.0003

Data Index: 513100 (C4 (Web Text))

Max Activating Token Index: 708

Text #3

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Max Act: 0.0500. Min Act: -0.0003

Data Index: 654876 (C4 (Web Text))

Max Activating Token Index: 309

Text #4

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Max Activating Token Index: 374

Text #5

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Max Activating Token Index: 647

Text #6

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Text #8

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Max Activating Token Index: 409

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Text #10

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Text #12

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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 #18

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Text #19

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Data Index: 1294474 (C4 (Web Text))

Max Activating Token Index: 116