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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1873 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0946. Min Act: -0.0002

Data Index: 1056467 (C4 (Web Text))

Max Activating Token Index: 947

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Text #1

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Data Index: 958552 (C4 (Web Text))

Max Activating Token Index: 491

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Truncated

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Text #2

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Max Act: 0.0865. Min Act: -0.0002

Data Index: 522171 (C4 (Web Text))

Max Activating Token Index: 920

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Text #3

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Data Index: 584675 (C4 (Web Text))

Max Activating Token Index: 339

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Truncated

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Text #4

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Data Index: 205246 (C4 (Web Text))

Max Activating Token Index: 221

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Truncated

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Text #5

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Data Index: 290388 (C4 (Web Text))

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Text #6

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Data Index: 846980 (C4 (Web Text))

Max Activating Token Index: 822

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Truncated

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Text #7

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Data Index: 1213864 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1041875 (C4 (Web Text))

Max Activating Token Index: 940

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Text #9

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Data Index: 613550 (C4 (Web Text))

Max Activating Token Index: 558

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Text #10

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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: 1016741 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1297837 (C4 (Web Text))

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Text #18

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Data Index: 67195 (C4 (Web Text))

Max Activating Token Index: 244

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Text #19

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Data Index: 51870 (C4 (Web Text))

Max Activating Token Index: 796

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