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

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

Neuron 3854 in Layer 2

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: 0.0002. Min Act: -0.0001

Data Index: 577522 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 695045 (C4 (Web Text))

Max Activating Token Index: 501

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Text #2

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Max Act: 0.0001. Min Act: -0.0001

Data Index: 970981 (C4 (Web Text))

Max Activating Token Index: 412

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Text #3

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Max Act: 0.0000. Min Act: -0.0001

Data Index: 1270530 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #4

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Data Index: 838637 (C4 (Web Text))

Max Activating Token Index: 531

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Text #5

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Data Index: 860351 (C4 (Web Text))

Max Activating Token Index: 1013

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Text #6

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Data Index: 1127560 (C4 (Web Text))

Max Activating Token Index: 480

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Text #7

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Data Index: 1055672 (C4 (Web Text))

Max Activating Token Index: 409

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Text #8

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Data Index: 1063496 (C4 (Web Text))

Max Activating Token Index: 802

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Text #9

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Data Index: 764315 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #10

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Data Index: 1415567 (Python Code)

Max Activating Token Index: 367

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Text #11

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Data Index: 1528430 (Python Code)

Max Activating Token Index: 52

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Text #12

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Data Index: 310016 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #13

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Data Index: 278488 (C4 (Web Text))

Max Activating Token Index: 409

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Text #14

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Data Index: 1564238 (Python Code)

Max Activating Token Index: 504

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Text #15

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Data Index: 410040 (C4 (Web Text))

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Text #16

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Data Index: 305544 (C4 (Web Text))

Max Activating Token Index: 535

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Text #17

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Data Index: 84924 (C4 (Web Text))

Max Activating Token Index: 914

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Text #18

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0000. Min Act: -0.0001

Data Index: 404107 (C4 (Web Text))

Max Activating Token Index: 717

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Text #19

Max Range: 0.0002. Min Range: -0.0002

Max Act: 0.0000. Min Act: -0.0001

Data Index: 124531 (C4 (Web Text))

Max Activating Token Index: 562

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