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

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

Neuron 100 in Layer 3

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: 0.0662. Min Act: -0.0001

Data Index: 210461 (C4 (Web Text))

Max Activating Token Index: 154

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Text #1

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Max Act: 0.0727. Min Act: -0.0001

Data Index: 382000 (C4 (Web Text))

Max Activating Token Index: 451

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Text #2

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Max Act: 0.0735. Min Act: -0.0001

Data Index: 1165390 (C4 (Web Text))

Max Activating Token Index: 524

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Text #3

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Data Index: 301260 (C4 (Web Text))

Max Activating Token Index: 519

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Text #4

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Data Index: 648739 (C4 (Web Text))

Max Activating Token Index: 631

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Text #5

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Data Index: 324378 (C4 (Web Text))

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Text #6

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Data Index: 128494 (C4 (Web Text))

Max Activating Token Index: 197

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Text #7

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Data Index: 1525655 (Python Code)

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Text #8

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Data Index: 310390 (C4 (Web Text))

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Text #9

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Data Index: 692713 (C4 (Web Text))

Max Activating Token Index: 996

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Text #10

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Text #11

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Truncated

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Text #12

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Data Index: 33129 (C4 (Web Text))

Max Activating Token Index: 905

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Text #13

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Text #14

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Text #15

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Data Index: 507297 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1524378 (Python Code)

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Text #18

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Data Index: 321838 (C4 (Web Text))

Max Activating Token Index: 913

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Text #19

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Data Index: 81570 (C4 (Web Text))

Max Activating Token Index: 17

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