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

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

Neuron 826 in Layer 2

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: 0.1409. Min Act: -0.0002

Data Index: 1119687 (C4 (Web Text))

Max Activating Token Index: 112

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Text #1

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Max Act: 0.1200. Min Act: -0.0002

Data Index: 298237 (C4 (Web Text))

Max Activating Token Index: 88

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Text #2

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Max Act: 0.1249. Min Act: -0.0002

Data Index: 276968 (C4 (Web Text))

Max Activating Token Index: 67

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Text #3

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Max Act: 0.1154. Min Act: -0.0002

Data Index: 697928 (C4 (Web Text))

Max Activating Token Index: 744

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Truncated

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Text #4

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Max Act: 0.1158. Min Act: -0.0002

Data Index: 1099698 (C4 (Web Text))

Max Activating Token Index: 583

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Text #5

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Data Index: 899236 (C4 (Web Text))

Max Activating Token Index: 597

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Text #6

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Data Index: 1163534 (C4 (Web Text))

Max Activating Token Index: 857

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Truncated

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Text #7

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Data Index: 1290210 (C4 (Web Text))

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Text #8

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Data Index: 1062629 (C4 (Web Text))

Max Activating Token Index: 840

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Text #9

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Data Index: 592057 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #10

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Data Index: 592289 (C4 (Web Text))

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Text #11

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Max Activating Token Index: 882

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Text #12

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Data Index: 1529777 (Python Code)

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Text #13

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Data Index: 1358195 (C4 (Web Text))

Max Activating Token Index: 780

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Text #14

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Data Index: 1551776 (Python Code)

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Text #15

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Data Index: 1502605 (Python Code)

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Text #16

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Data Index: 40632 (C4 (Web Text))

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Text #17

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Data Index: 391477 (C4 (Web Text))

Max Activating Token Index: 624

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Text #18

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Max Act: 0.0992. Min Act: -0.0002

Data Index: 850358 (C4 (Web Text))

Max Activating Token Index: 702

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Text #19

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Data Index: 1008509 (C4 (Web Text))

Max Activating Token Index: 497

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