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

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

Neuron 2502 in Layer 1

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: 934903 (C4 (Web Text))

Max Activating Token Index: 780

Text #1

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Max Activating Token Index: 639

Text #2

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Max Activating Token Index: 786

Text #3

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Max Act: 0.0190. Min Act: -0.0004

Data Index: 659824 (C4 (Web Text))

Max Activating Token Index: 242

Text #4

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Max Act: 0.0184. Min Act: -0.0004

Data Index: 484166 (C4 (Web Text))

Max Activating Token Index: 1013

Text #5

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Data Index: 323703 (C4 (Web Text))

Max Activating Token Index: 208

Text #6

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Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 614

Text #8

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Max Activating Token Index: 341

Text #9

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Max Activating Token Index: 792

Text #10

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Max Activating Token Index: 797

Text #11

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Data Index: 133706 (C4 (Web Text))

Max Activating Token Index: 681

Text #12

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Max Activating Token Index: 774

Text #13

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Max Activating Token Index: 589

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 704

Text #17

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Max Activating Token Index: 262

Text #18

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Max Activating Token Index: 851

Text #19

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Data Index: 1204290 (C4 (Web Text))

Max Activating Token Index: 51