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

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

Neuron 11 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: 0.0257. Min Act: -0.0003

Data Index: 1089342 (C4 (Web Text))

Max Activating Token Index: 531

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Text #1

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Data Index: 1066208 (C4 (Web Text))

Max Activating Token Index: 649

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Truncated

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Text #2

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Data Index: 145999 (C4 (Web Text))

Max Activating Token Index: 350

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Text #3

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Truncated

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Text #4

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Data Index: 728241 (C4 (Web Text))

Max Activating Token Index: 506

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Truncated

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Text #5

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Data Index: 1054114 (C4 (Web Text))

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Text #6

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Data Index: 299751 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 592820 (C4 (Web Text))

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Text #9

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Data Index: 1147726 (C4 (Web Text))

Max Activating Token Index: 529

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Truncated

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Text #10

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Truncated

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Text #11

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Text #12

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Text #13

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Truncated

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 399452 (C4 (Web Text))

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Text #18

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Data Index: 107993 (C4 (Web Text))

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Truncated

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Text #19

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Data Index: 924373 (C4 (Web Text))

Max Activating Token Index: 464

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