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

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

Neuron 597 in Layer 1

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

Text #0

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Max Act: 0.0167. Min Act: -0.0004

Data Index: 1423316 (Python Code)

Max Activating Token Index: 46

Text #1

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Max Act: 0.0159. Min Act: -0.0004

Data Index: 1288479 (C4 (Web Text))

Max Activating Token Index: 606

Text #2

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Max Act: 0.0151. Min Act: -0.0004

Data Index: 546568 (C4 (Web Text))

Max Activating Token Index: 758

Text #3

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Max Act: 0.0149. Min Act: -0.0004

Data Index: 1643779 (Python Code)

Max Activating Token Index: 603

Text #4

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Max Act: 0.0133. Min Act: -0.0004

Data Index: 1377033 (Python Code)

Max Activating Token Index: 895

Text #5

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Max Act: 0.0138. Min Act: -0.0004

Data Index: 1601652 (Python Code)

Max Activating Token Index: 95

Text #6

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Data Index: 1483328 (Python Code)

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Text #7

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Data Index: 139185 (C4 (Web Text))

Max Activating Token Index: 861

Text #8

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Data Index: 1492680 (Python Code)

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Text #9

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Data Index: 1380123 (Python Code)

Max Activating Token Index: 466

Text #10

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Data Index: 1537415 (Python Code)

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Text #11

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Max Activating Token Index: 250

Text #12

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Max Activating Token Index: 790

Text #13

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Data Index: 611447 (C4 (Web Text))

Max Activating Token Index: 578

Text #14

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Data Index: 448929 (C4 (Web Text))

Max Activating Token Index: 852

Text #15

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Data Index: 1565817 (Python Code)

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Text #16

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Text #17

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Data Index: 1494803 (Python Code)

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Text #18

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Data Index: 1535151 (Python Code)

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Text #19

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Data Index: 1437099 (Python Code)

Max Activating Token Index: 539