Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 525 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0313. Min Act: -0.0006

Data Index: 774937 (C4 (Web Text))

Max Activating Token Index: 405

Text #1

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Max Act: 0.0312. Min Act: -0.0006

Data Index: 1148725 (C4 (Web Text))

Max Activating Token Index: 640

Text #2

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Max Act: 0.0287. Min Act: -0.0006

Data Index: 503171 (C4 (Web Text))

Max Activating Token Index: 659

Text #3

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Max Act: 0.0289. Min Act: -0.0006

Data Index: 1259767 (C4 (Web Text))

Max Activating Token Index: 842

Text #4

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Max Act: 0.0293. Min Act: -0.0006

Data Index: 354532 (C4 (Web Text))

Max Activating Token Index: 397

Text #5

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Max Act: 0.0298. Min Act: -0.0006

Data Index: 40068 (C4 (Web Text))

Max Activating Token Index: 932

Text #6

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Data Index: 58002 (C4 (Web Text))

Max Activating Token Index: 979

Text #7

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Data Index: 1148502 (C4 (Web Text))

Max Activating Token Index: 426

Text #8

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Data Index: 104932 (C4 (Web Text))

Max Activating Token Index: 686

Text #9

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Max Activating Token Index: 798

Text #10

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Data Index: 305442 (C4 (Web Text))

Max Activating Token Index: 123

Text #11

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Data Index: 403651 (C4 (Web Text))

Max Activating Token Index: 858

Text #12

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Max Activating Token Index: 182

Text #13

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Max Activating Token Index: 286

Text #14

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Max Activating Token Index: 560

Text #15

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Text #16

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Max Activating Token Index: 20

Text #17

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Max Activating Token Index: 777

Text #18

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Max Act: 0.0259. Min Act: -0.0006

Data Index: 643947 (C4 (Web Text))

Max Activating Token Index: 399

Text #19

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Max Act: 0.0259. Min Act: -0.0006

Data Index: 1435791 (Python Code)

Max Activating Token Index: 493