Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2565 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.5330. Min Range: -0.5330

Max Act: 0.4896. Min Act: -0.0001

Data Index: 1392765 (Python Code)

Max Activating Token Index: 705

Text #1

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Max Act: 0.5330. Min Act: -0.0001

Data Index: 1538900 (Python Code)

Max Activating Token Index: 536

Text #2

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Data Index: 1456098 (Python Code)

Max Activating Token Index: 487

Text #3

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Max Act: 0.4869. Min Act: -0.0000

Data Index: 199713 (C4 (Web Text))

Max Activating Token Index: 728

Text #4

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Max Act: 0.4761. Min Act: -0.0000

Data Index: 993441 (C4 (Web Text))

Max Activating Token Index: 83

Text #5

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Data Index: 1488714 (Python Code)

Max Activating Token Index: 467

Text #6

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Data Index: 1596922 (Python Code)

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Text #7

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Data Index: 1453594 (Python Code)

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Text #8

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Max Activating Token Index: 766

Text #9

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Data Index: 787290 (C4 (Web Text))

Max Activating Token Index: 714

Text #10

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Data Index: 1653219 (Python Code)

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Text #11

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Data Index: 1361973 (Python Code)

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Text #12

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Max Activating Token Index: 131

Text #13

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Data Index: 1187110 (C4 (Web Text))

Max Activating Token Index: 550

Text #14

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Data Index: 1469159 (Python Code)

Max Activating Token Index: 294

Text #15

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Data Index: 1652994 (Python Code)

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Text #16

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Text #17

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Data Index: 591388 (C4 (Web Text))

Max Activating Token Index: 284

Text #18

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Data Index: 713990 (C4 (Web Text))

Max Activating Token Index: 919

Text #19

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Data Index: 767929 (C4 (Web Text))

Max Activating Token Index: 1015