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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 6048 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.0860. Min Act: -0.0000

Data Index: 1637758 (Python Code)

Max Activating Token Index: 831

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Text #1

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Max Act: 0.8675. Min Act: -0.0000

Data Index: 1480473 (Python Code)

Max Activating Token Index: 219

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Text #2

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Max Act: 0.9206. Min Act: -0.0000

Data Index: 1504615 (Python Code)

Max Activating Token Index: 841

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Text #3

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Max Act: 0.8029. Min Act: -0.0000

Data Index: 1534012 (Python Code)

Max Activating Token Index: 60

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Text #4

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Data Index: 1561902 (Python Code)

Max Activating Token Index: 536

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Text #5

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Data Index: 1394260 (Python Code)

Max Activating Token Index: 432

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Text #6

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Data Index: 1553093 (Python Code)

Max Activating Token Index: 558

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Text #7

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Data Index: 1411831 (Python Code)

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Text #8

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Data Index: 1652987 (Python Code)

Max Activating Token Index: 856

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Text #9

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Data Index: 1628583 (Python Code)

Max Activating Token Index: 861

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Text #10

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Data Index: 1363559 (Python Code)

Max Activating Token Index: 235

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Text #11

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Data Index: 1633519 (Python Code)

Max Activating Token Index: 536

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Text #12

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Data Index: 1577966 (Python Code)

Max Activating Token Index: 910

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Text #13

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Data Index: 1493709 (Python Code)

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Text #14

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Data Index: 1621088 (Python Code)

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Text #15

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Data Index: 525575 (C4 (Web Text))

Max Activating Token Index: 100

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Text #16

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Data Index: 1276623 (C4 (Web Text))

Max Activating Token Index: 399

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Text #17

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Data Index: 1481074 (Python Code)

Max Activating Token Index: 901

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Text #18

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Data Index: 1617114 (Python Code)

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Text #19

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Data Index: 1493869 (Python Code)

Max Activating Token Index: 21

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