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

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

Neuron 432 in Layer 4

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

Text #0

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Max Act: 0.1646. Min Act: -0.0001

Data Index: 971064 (C4 (Web Text))

Max Activating Token Index: 580

Text #1

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Max Act: 0.1701. Min Act: -0.0001

Data Index: 1487138 (Python Code)

Max Activating Token Index: 506

Text #2

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Max Act: 0.1561. Min Act: -0.0001

Data Index: 429298 (C4 (Web Text))

Max Activating Token Index: 547

Text #3

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Max Act: 0.1582. Min Act: -0.0001

Data Index: 582294 (C4 (Web Text))

Max Activating Token Index: 173

Text #4

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Max Act: 0.1576. Min Act: -0.0001

Data Index: 1289582 (C4 (Web Text))

Max Activating Token Index: 473

Text #5

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Max Act: 0.1447. Min Act: -0.0001

Data Index: 417793 (C4 (Web Text))

Max Activating Token Index: 393

Text #6

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Max Activating Token Index: 483

Text #7

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Max Activating Token Index: 340

Text #8

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Max Activating Token Index: 263

Text #9

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Max Activating Token Index: 252

Text #10

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Max Activating Token Index: 273

Text #11

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Data Index: 1322821 (C4 (Web Text))

Max Activating Token Index: 211

Text #12

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Data Index: 472914 (C4 (Web Text))

Max Activating Token Index: 318

Text #13

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Data Index: 1244176 (C4 (Web Text))

Max Activating Token Index: 83

Text #14

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Max Activating Token Index: 93

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 1018

Text #18

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Data Index: 374551 (C4 (Web Text))

Max Activating Token Index: 548

Text #19

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Max Act: 0.1041. Min Act: -0.0001

Data Index: 58873 (C4 (Web Text))

Max Activating Token Index: 321