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

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

Neuron 2848 in Layer 4

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: 0.9716. Min Act: -0.0001

Data Index: 361428 (C4 (Web Text))

Max Activating Token Index: 97

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Text #1

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Max Act: 0.7950. Min Act: -0.0001

Data Index: 892783 (C4 (Web Text))

Max Activating Token Index: 248

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Truncated

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Text #2

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Max Act: 0.8611. Min Act: -0.0001

Data Index: 1611242 (Python Code)

Max Activating Token Index: 658

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Text #3

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Max Act: 0.8182. Min Act: -0.0001

Data Index: 182416 (C4 (Web Text))

Max Activating Token Index: 202

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Truncated

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Text #4

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Max Act: 0.8159. Min Act: -0.0001

Data Index: 105312 (C4 (Web Text))

Max Activating Token Index: 383

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Truncated

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Text #5

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Data Index: 702086 (C4 (Web Text))

Max Activating Token Index: 245

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Text #6

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Data Index: 1240874 (C4 (Web Text))

Max Activating Token Index: 87

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Truncated

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Text #7

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Data Index: 577616 (C4 (Web Text))

Max Activating Token Index: 550

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Truncated

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Text #8

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Data Index: 1289313 (C4 (Web Text))

Max Activating Token Index: 857

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Text #9

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Data Index: 1208102 (C4 (Web Text))

Max Activating Token Index: 975

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Text #10

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Data Index: 1142254 (C4 (Web Text))

Max Activating Token Index: 220

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Truncated

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Text #11

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Data Index: 1220741 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 266783 (C4 (Web Text))

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Text #13

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Data Index: 877175 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 873733 (C4 (Web Text))

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Text #15

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Data Index: 388108 (C4 (Web Text))

Max Activating Token Index: 935

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Text #16

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Data Index: 1445001 (Python Code)

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Text #17

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Max Act: 0.6780. Min Act: -0.0001

Data Index: 621816 (C4 (Web Text))

Max Activating Token Index: 867

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Text #18

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Data Index: 1331023 (C4 (Web Text))

Max Activating Token Index: 230

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Truncated

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Text #19

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Data Index: 906464 (C4 (Web Text))

Max Activating Token Index: 395

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