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

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

Neuron 5102 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.2411. Min Act: -0.0000

Data Index: 639540 (C4 (Web Text))

Max Activating Token Index: 656

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Text #1

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Max Act: 0.2130. Min Act: -0.0000

Data Index: 1605525 (Python Code)

Max Activating Token Index: 303

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Text #2

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Max Act: 0.2034. Min Act: -0.0000

Data Index: 1588100 (Python Code)

Max Activating Token Index: 838

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Text #3

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Max Act: 0.1977. Min Act: -0.0000

Data Index: 1651676 (Python Code)

Max Activating Token Index: 682

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Text #4

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Max Act: 0.1668. Min Act: -0.0000

Data Index: 1607145 (Python Code)

Max Activating Token Index: 202

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Text #5

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Max Act: 0.1976. Min Act: -0.0000

Data Index: 1158431 (C4 (Web Text))

Max Activating Token Index: 48

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Text #6

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Data Index: 683361 (C4 (Web Text))

Max Activating Token Index: 515

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Text #7

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Data Index: 539563 (C4 (Web Text))

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Text #8

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Data Index: 1374665 (Python Code)

Max Activating Token Index: 644

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Text #9

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Data Index: 1368282 (Python Code)

Max Activating Token Index: 814

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Text #10

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Data Index: 1437892 (Python Code)

Max Activating Token Index: 270

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Text #11

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Max Act: 0.1981. Min Act: -0.0000

Data Index: 112831 (C4 (Web Text))

Max Activating Token Index: 251

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Text #12

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Data Index: 1501270 (Python Code)

Max Activating Token Index: 847

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Text #13

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Data Index: 1030401 (C4 (Web Text))

Max Activating Token Index: 340

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Text #14

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Data Index: 1631531 (Python Code)

Max Activating Token Index: 997

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Text #15

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Data Index: 1457816 (Python Code)

Max Activating Token Index: 612

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Text #16

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Data Index: 1604598 (Python Code)

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Text #17

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Data Index: 1601022 (Python Code)

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Text #18

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Data Index: 1444541 (Python Code)

Max Activating Token Index: 425

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Text #19

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Max Act: 0.1875. Min Act: -0.0000

Data Index: 678088 (C4 (Web Text))

Max Activating Token Index: 419

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