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

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

Neuron 784 in Layer 1

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: 0.0194. Min Act: -0.0003

Data Index: 409730 (C4 (Web Text))

Max Activating Token Index: 325

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Text #1

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Data Index: 16149 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Data Index: 978137 (C4 (Web Text))

Max Activating Token Index: 752

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Text #3

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Data Index: 161601 (C4 (Web Text))

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Text #4

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Data Index: 871849 (C4 (Web Text))

Max Activating Token Index: 864

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Text #5

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Data Index: 636094 (C4 (Web Text))

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Text #6

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Text #7

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Truncated

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Text #8

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Data Index: 987401 (C4 (Web Text))

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Text #9

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Data Index: 242786 (C4 (Web Text))

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Text #10

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Data Index: 1378877 (Python Code)

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 494368 (C4 (Web Text))

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Text #15

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Data Index: 222436 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 782460 (C4 (Web Text))

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Text #18

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Data Index: 829679 (C4 (Web Text))

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Text #19

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Data Index: 1426388 (Python Code)

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