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

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

Neuron 3050 in Layer 5

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: 0.2073. Min Act: -0.0001

Data Index: 424893 (C4 (Web Text))

Max Activating Token Index: 388

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Text #1

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Data Index: 1340358 (C4 (Web Text))

Max Activating Token Index: 329

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Truncated

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Text #2

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Max Act: 0.1769. Min Act: -0.0001

Data Index: 496520 (C4 (Web Text))

Max Activating Token Index: 381

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Truncated

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Text #3

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Data Index: 693023 (C4 (Web Text))

Max Activating Token Index: 632

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Truncated

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Text #4

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Data Index: 4405 (C4 (Web Text))

Max Activating Token Index: 208

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Truncated

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Text #5

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Data Index: 181891 (C4 (Web Text))

Max Activating Token Index: 822

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Truncated

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Text #6

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Data Index: 1007309 (C4 (Web Text))

Max Activating Token Index: 257

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Truncated

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Text #7

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Max Activating Token Index: 298

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Truncated

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Text #8

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Data Index: 1346494 (C4 (Web Text))

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Text #9

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Data Index: 502529 (C4 (Web Text))

Max Activating Token Index: 655

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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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Truncated

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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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Max Activating Token Index: 835

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Text #16

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Truncated

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Text #17

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Data Index: 1096441 (C4 (Web Text))

Max Activating Token Index: 985

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Text #18

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Data Index: 1210573 (C4 (Web Text))

Max Activating Token Index: 53

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Text #19

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Data Index: 324163 (C4 (Web Text))

Max Activating Token Index: 884

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