Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1959 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 175366 (C4 (Web Text))

Max Activating Token Index: 10

Text #1

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 162918 (C4 (Web Text))

Max Activating Token Index: 978

Text #2

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Max Act: 0.0334. Min Act: -0.0002

Data Index: 152269 (C4 (Web Text))

Max Activating Token Index: 901

Text #3

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Max Act: 0.0337. Min Act: -0.0003

Data Index: 1076429 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Data Index: 662972 (C4 (Web Text))

Max Activating Token Index: 746

Text #5

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Data Index: 1208636 (C4 (Web Text))

Max Activating Token Index: 184

Text #6

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Max Activating Token Index: 120

Text #7

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Max Activating Token Index: 397

Text #8

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Max Activating Token Index: 317

Text #9

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Data Index: 474352 (C4 (Web Text))

Max Activating Token Index: 440

Text #10

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Max Activating Token Index: 99

Text #11

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Max Activating Token Index: 405

Text #12

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Max Activating Token Index: 723

Text #13

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Data Index: 132897 (C4 (Web Text))

Max Activating Token Index: 321

Text #14

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Max Activating Token Index: 953

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 956

Text #18

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Data Index: 1108870 (C4 (Web Text))

Max Activating Token Index: 169

Text #19

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Data Index: 879172 (C4 (Web Text))

Max Activating Token Index: 978