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

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

Neuron 2805 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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Data Index: 1503711 (Python Code)

Max Activating Token Index: 825

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Text #1

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Data Index: 1510401 (Python Code)

Max Activating Token Index: 677

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Text #2

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Max Act: 0.0580. Min Act: -0.0003

Data Index: 1335510 (C4 (Web Text))

Max Activating Token Index: 583

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Text #3

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Data Index: 1296491 (C4 (Web Text))

Max Activating Token Index: 415

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Text #4

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Data Index: 478577 (C4 (Web Text))

Max Activating Token Index: 433

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Text #5

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Data Index: 582129 (C4 (Web Text))

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Text #6

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Data Index: 1014790 (C4 (Web Text))

Max Activating Token Index: 447

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Text #7

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Data Index: 867647 (C4 (Web Text))

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Text #8

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Data Index: 1309928 (C4 (Web Text))

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Text #9

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Data Index: 1330286 (C4 (Web Text))

Max Activating Token Index: 721

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Text #10

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Data Index: 1103973 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 242167 (C4 (Web Text))

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Text #13

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Data Index: 651582 (C4 (Web Text))

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Text #14

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Data Index: 1075755 (C4 (Web Text))

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Text #15

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Data Index: 918298 (C4 (Web Text))

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Text #16

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Data Index: 744984 (C4 (Web Text))

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Text #17

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Data Index: 1055512 (C4 (Web Text))

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Text #18

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Data Index: 501196 (C4 (Web Text))

Max Activating Token Index: 797

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Text #19

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Data Index: 558354 (C4 (Web Text))

Max Activating Token Index: 601

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