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

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

Neuron 4333 in Layer 4

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



Text #0

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Max Act: 0.1565. Min Act: -0.0001

Data Index: 1139514 (C4 (Web Text))

Max Activating Token Index: 882

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Text #1

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Max Act: 0.1192. Min Act: -0.0000

Data Index: 215307 (C4 (Web Text))

Max Activating Token Index: 200

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Text #2

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Max Act: 0.1078. Min Act: -0.0001

Data Index: 1274510 (C4 (Web Text))

Max Activating Token Index: 309

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Text #3

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Max Act: 0.0945. Min Act: -0.0000

Data Index: 1494958 (Python Code)

Max Activating Token Index: 15

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Text #4

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Data Index: 1580781 (Python Code)

Max Activating Token Index: 537

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Text #5

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Data Index: 1582937 (Python Code)

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Text #6

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Data Index: 1655970 (Python Code)

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Text #7

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Data Index: 364144 (C4 (Web Text))

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Text #8

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Data Index: 1531441 (Python Code)

Max Activating Token Index: 35

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Text #9

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Data Index: 1454757 (Python Code)

Max Activating Token Index: 124

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Text #10

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Data Index: 1462464 (Python Code)

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Text #11

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Data Index: 1382407 (Python Code)

Max Activating Token Index: 7

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Text #12

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Data Index: 1374579 (Python Code)

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Text #13

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Data Index: 1464340 (Python Code)

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Text #14

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Data Index: 1397670 (Python Code)

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Text #15

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Text #16

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Data Index: 1485022 (Python Code)

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Text #17

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Data Index: 1598691 (Python Code)

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Text #18

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Data Index: 1520671 (Python Code)

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Text #19

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Max Act: 0.0772. Min Act: -0.0000

Data Index: 862718 (C4 (Web Text))

Max Activating Token Index: 702

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