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

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

Neuron 4678 in Layer 3

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: 0.0707. Min Act: -0.0001

Data Index: 758481 (C4 (Web Text))

Max Activating Token Index: 990

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Text #1

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Data Index: 649777 (C4 (Web Text))

Max Activating Token Index: 600

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Truncated

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Text #2

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Max Act: 0.0515. Min Act: -0.0001

Data Index: 1307172 (C4 (Web Text))

Max Activating Token Index: 466

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Text #3

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Data Index: 1356921 (C4 (Web Text))

Max Activating Token Index: 524

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Truncated

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Text #4

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Data Index: 1333365 (C4 (Web Text))

Max Activating Token Index: 944

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Text #5

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Data Index: 1313161 (C4 (Web Text))

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Text #6

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Data Index: 1176778 (C4 (Web Text))

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Text #7

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Data Index: 788476 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 951703 (C4 (Web Text))

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Text #9

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Data Index: 942906 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 939

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Text #11

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Data Index: 1560781 (Python Code)

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Text #12

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Data Index: 432861 (C4 (Web Text))

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Text #13

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Data Index: 1311849 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 96008 (C4 (Web Text))

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Text #16

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Data Index: 1601288 (Python Code)

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Text #17

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Data Index: 1183453 (C4 (Web Text))

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Text #18

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Data Index: 439401 (C4 (Web Text))

Max Activating Token Index: 652

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Text #19

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Data Index: 1616589 (Python Code)

Max Activating Token Index: 664

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