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

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

Neuron 1908 in Layer 2

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

Text #0

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Max Act: 0.0471. Min Act: -0.0003

Data Index: 620651 (C4 (Web Text))

Max Activating Token Index: 942

Text #1

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Max Activating Token Index: 521

Text #2

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Max Act: 0.0444. Min Act: -0.0002

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Max Activating Token Index: 325

Text #3

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Max Act: 0.0466. Min Act: -0.0003

Data Index: 33491 (C4 (Web Text))

Max Activating Token Index: 1009

Text #4

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Max Activating Token Index: 299

Text #5

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Max Activating Token Index: 629

Text #6

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Max Activating Token Index: 449

Text #7

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Text #9

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Max Activating Token Index: 354

Text #10

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Max Activating Token Index: 217

Text #12

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Max Activating Token Index: 888

Text #13

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Max Activating Token Index: 641

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: 629905 (C4 (Web Text))

Max Activating Token Index: 503