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

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

Neuron 884 in Layer 1

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

Text #0

Max Range: 0.0161. Min Range: -0.0161

Max Act: 0.0161. Min Act: -0.0006

Data Index: 1511898 (Python Code)

Max Activating Token Index: 502

Text #1

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Max Act: 0.0153. Min Act: -0.0006

Data Index: 1531918 (Python Code)

Max Activating Token Index: 555

Text #2

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 1416148 (Python Code)

Max Activating Token Index: 997

Text #3

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 1411928 (Python Code)

Max Activating Token Index: 83

Text #4

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1534257 (Python Code)

Max Activating Token Index: 498

Text #5

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1570936 (Python Code)

Max Activating Token Index: 427

Text #6

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Data Index: 212175 (C4 (Web Text))

Max Activating Token Index: 38

Text #7

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Data Index: 456652 (C4 (Web Text))

Max Activating Token Index: 154

Text #8

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Data Index: 1594319 (Python Code)

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Text #9

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Data Index: 1353884 (C4 (Web Text))

Max Activating Token Index: 439

Text #10

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Data Index: 561822 (C4 (Web Text))

Max Activating Token Index: 454

Text #11

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Data Index: 612125 (C4 (Web Text))

Max Activating Token Index: 840

Text #12

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Data Index: 496724 (C4 (Web Text))

Max Activating Token Index: 201

Text #13

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Data Index: 296708 (C4 (Web Text))

Max Activating Token Index: 270

Text #14

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Data Index: 163192 (C4 (Web Text))

Max Activating Token Index: 825

Text #15

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Text #16

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Text #17

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Data Index: 931001 (C4 (Web Text))

Max Activating Token Index: 357

Text #18

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Data Index: 1589654 (Python Code)

Max Activating Token Index: 290

Text #19

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1628748 (Python Code)

Max Activating Token Index: 206