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

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

Neuron 2424 in Layer 3

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

Text #0

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Max Act: 0.0330. Min Act: -0.0001

Data Index: 957289 (C4 (Web Text))

Max Activating Token Index: 50

Text #1

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Max Act: 0.0290. Min Act: -0.0001

Data Index: 9448 (C4 (Web Text))

Max Activating Token Index: 709

Text #2

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Max Act: 0.0297. Min Act: -0.0001

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Max Activating Token Index: 9

Text #3

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Max Act: 0.0299. Min Act: -0.0001

Data Index: 131617 (C4 (Web Text))

Max Activating Token Index: 87

Text #4

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Data Index: 502988 (C4 (Web Text))

Max Activating Token Index: 557

Text #5

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Max Activating Token Index: 175

Text #6

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Max Activating Token Index: 291

Text #7

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Max Activating Token Index: 606

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Max Activating Token Index: 522

Text #10

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Max Activating Token Index: 553

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Text #12

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Max Activating Token Index: 72

Text #13

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Max Activating Token Index: 165

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: 904

Text #18

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Max Activating Token Index: 336

Text #19

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Data Index: 1080950 (C4 (Web Text))

Max Activating Token Index: 680