Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1216 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0688. Min Act: -0.0002

Data Index: 1158956 (C4 (Web Text))

Max Activating Token Index: 535

Text #1

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Data Index: 974050 (C4 (Web Text))

Max Activating Token Index: 843

Text #2

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Max Act: 0.0665. Min Act: -0.0004

Data Index: 960832 (C4 (Web Text))

Max Activating Token Index: 790

Text #3

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Max Act: 0.0656. Min Act: -0.0003

Data Index: 992476 (C4 (Web Text))

Max Activating Token Index: 413

Text #4

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Data Index: 531213 (C4 (Web Text))

Max Activating Token Index: 770

Text #5

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Data Index: 286371 (C4 (Web Text))

Max Activating Token Index: 222

Text #6

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Data Index: 958112 (C4 (Web Text))

Max Activating Token Index: 1012

Text #7

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Data Index: 346141 (C4 (Web Text))

Max Activating Token Index: 303

Text #8

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Max Activating Token Index: 260

Text #9

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Max Activating Token Index: 659

Text #10

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Data Index: 210776 (C4 (Web Text))

Max Activating Token Index: 250

Text #11

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Data Index: 581961 (C4 (Web Text))

Max Activating Token Index: 176

Text #12

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Data Index: 30088 (C4 (Web Text))

Max Activating Token Index: 116

Text #13

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Data Index: 716273 (C4 (Web Text))

Max Activating Token Index: 260

Text #14

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Data Index: 1330407 (C4 (Web Text))

Max Activating Token Index: 138

Text #15

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Max Activating Token Index: 83

Text #16

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Text #17

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Max Activating Token Index: 201

Text #18

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Max Activating Token Index: 811

Text #19

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Data Index: 596020 (C4 (Web Text))

Max Activating Token Index: 475