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

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

Neuron 883 in Layer 1

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

Text #0

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Max Act: 0.0740. Min Act: -0.0003

Data Index: 577369 (C4 (Web Text))

Max Activating Token Index: 538

Text #1

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Data Index: 80417 (C4 (Web Text))

Max Activating Token Index: 48

Text #2

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Max Act: 0.0672. Min Act: -0.0003

Data Index: 138563 (C4 (Web Text))

Max Activating Token Index: 587

Text #3

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Max Act: 0.0659. Min Act: -0.0003

Data Index: 73624 (C4 (Web Text))

Max Activating Token Index: 44

Text #4

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Data Index: 726440 (C4 (Web Text))

Max Activating Token Index: 42

Text #5

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Data Index: 221243 (C4 (Web Text))

Max Activating Token Index: 538

Text #6

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Text #10

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Max Activating Token Index: 562

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Max Activating Token Index: 756

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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Text #18

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Data Index: 606300 (C4 (Web Text))

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Text #19

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Data Index: 144441 (C4 (Web Text))

Max Activating Token Index: 593