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

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

Neuron 863 in Layer 4

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



Text #0

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Max Act: 0.6115. Min Act: -0.0001

Data Index: 850382 (C4 (Web Text))

Max Activating Token Index: 591

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Text #1

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Max Act: 0.5773. Min Act: -0.0001

Data Index: 1520738 (Python Code)

Max Activating Token Index: 781

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Text #2

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Max Act: 0.5774. Min Act: -0.0001

Data Index: 1558511 (Python Code)

Max Activating Token Index: 620

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Text #3

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Max Act: 0.5553. Min Act: -0.0001

Data Index: 180235 (C4 (Web Text))

Max Activating Token Index: 962

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Text #4

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Data Index: 1447019 (Python Code)

Max Activating Token Index: 469

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Text #5

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Data Index: 1497215 (Python Code)

Max Activating Token Index: 591

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Text #6

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Data Index: 1615476 (Python Code)

Max Activating Token Index: 591

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Text #7

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Data Index: 1379711 (Python Code)

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Text #8

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Data Index: 1531862 (Python Code)

Max Activating Token Index: 295

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Text #9

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Data Index: 1462947 (Python Code)

Max Activating Token Index: 4

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Text #10

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Data Index: 1509156 (Python Code)

Max Activating Token Index: 4

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Text #11

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Data Index: 1626487 (Python Code)

Max Activating Token Index: 4

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Text #12

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Text #13

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Data Index: 1384450 (Python Code)

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Text #14

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Data Index: 1392346 (Python Code)

Max Activating Token Index: 59

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Text #15

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Data Index: 1449310 (Python Code)

Max Activating Token Index: 491

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Text #16

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Text #17

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Max Activating Token Index: 697

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Text #18

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Data Index: 1572694 (Python Code)

Max Activating Token Index: 977

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Text #19

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Data Index: 1627648 (Python Code)

Max Activating Token Index: 1002

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