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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3014 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0578. Min Act: -0.0003

Data Index: 924946 (C4 (Web Text))

Max Activating Token Index: 175

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Text #1

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Max Act: 0.0534. Min Act: -0.0003

Data Index: 803010 (C4 (Web Text))

Max Activating Token Index: 194

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Truncated

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Text #2

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Max Act: 0.0490. Min Act: -0.0003

Data Index: 706695 (C4 (Web Text))

Max Activating Token Index: 347

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Text #3

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Data Index: 1054038 (C4 (Web Text))

Max Activating Token Index: 774

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Truncated

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Text #4

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Data Index: 977110 (C4 (Web Text))

Max Activating Token Index: 767

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Truncated

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Text #5

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Data Index: 843637 (C4 (Web Text))

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Text #6

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Data Index: 64192 (C4 (Web Text))

Max Activating Token Index: 46

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Text #7

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Data Index: 1109295 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 803742 (C4 (Web Text))

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Text #9

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Data Index: 4256 (C4 (Web Text))

Max Activating Token Index: 150

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Text #10

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Data Index: 98940 (C4 (Web Text))

Max Activating Token Index: 607

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Text #11

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Text #12

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Data Index: 274108 (C4 (Web Text))

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Text #13

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Data Index: 1039929 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 192178 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 681046 (C4 (Web Text))

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Text #18

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Data Index: 138670 (C4 (Web Text))

Max Activating Token Index: 744

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Text #19

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Data Index: 880516 (C4 (Web Text))

Max Activating Token Index: 821

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