Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1673 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 1408765 (Python Code)

Max Activating Token Index: 558

Text #1

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Max Act: 0.0368. Min Act: -0.0002

Data Index: 1408761 (Python Code)

Max Activating Token Index: 351

Text #2

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 1561728 (Python Code)

Max Activating Token Index: 319

Text #3

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 1625463 (Python Code)

Max Activating Token Index: 14

Text #4

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Max Act: 0.0339. Min Act: -0.0002

Data Index: 1435367 (Python Code)

Max Activating Token Index: 615

Text #5

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Max Act: 0.0330. Min Act: -0.0002

Data Index: 1551151 (Python Code)

Max Activating Token Index: 150

Text #6

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Data Index: 160750 (C4 (Web Text))

Max Activating Token Index: 789

Text #7

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Data Index: 1534180 (Python Code)

Max Activating Token Index: 470

Text #8

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Data Index: 1578893 (Python Code)

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Text #9

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 1453948 (Python Code)

Max Activating Token Index: 263

Text #10

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Data Index: 1599176 (Python Code)

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Text #11

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Data Index: 1377843 (Python Code)

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Text #12

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Data Index: 1411073 (Python Code)

Max Activating Token Index: 417

Text #13

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Data Index: 1570029 (Python Code)

Max Activating Token Index: 347

Text #14

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Data Index: 1503005 (Python Code)

Max Activating Token Index: 581

Text #15

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Data Index: 1433626 (Python Code)

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Text #16

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Data Index: 1639574 (Python Code)

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Text #17

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Data Index: 1453332 (Python Code)

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Text #18

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Data Index: 1193322 (C4 (Web Text))

Max Activating Token Index: 703

Text #19

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Max Act: 0.0284. Min Act: -0.0002

Data Index: 1610728 (Python Code)

Max Activating Token Index: 507