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

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

Neuron 2076 in Layer 2

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: 0.0322. Min Act: -0.0002

Data Index: 720754 (C4 (Web Text))

Max Activating Token Index: 340

Text #1

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Data Index: 4911 (C4 (Web Text))

Max Activating Token Index: 377

Text #2

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Max Act: 0.0321. Min Act: -0.0002

Data Index: 564765 (C4 (Web Text))

Max Activating Token Index: 239

Text #3

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 13506 (C4 (Web Text))

Max Activating Token Index: 95

Text #4

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Data Index: 975058 (C4 (Web Text))

Max Activating Token Index: 965

Text #5

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Max Activating Token Index: 929

Text #6

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Data Index: 116718 (C4 (Web Text))

Max Activating Token Index: 151

Text #7

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Max Activating Token Index: 52

Text #8

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Data Index: 759576 (C4 (Web Text))

Max Activating Token Index: 263

Text #9

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Data Index: 874887 (C4 (Web Text))

Max Activating Token Index: 998

Text #10

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Data Index: 42732 (C4 (Web Text))

Max Activating Token Index: 888

Text #11

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Data Index: 316269 (C4 (Web Text))

Max Activating Token Index: 425

Text #12

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Max Activating Token Index: 784

Text #13

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Data Index: 210592 (C4 (Web Text))

Max Activating Token Index: 998

Text #14

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Data Index: 516082 (C4 (Web Text))

Max Activating Token Index: 77

Text #15

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Text #16

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Max Activating Token Index: 739

Text #17

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Data Index: 400210 (C4 (Web Text))

Max Activating Token Index: 383

Text #18

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Data Index: 987423 (C4 (Web Text))

Max Activating Token Index: 862

Text #19

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Data Index: 1259768 (C4 (Web Text))

Max Activating Token Index: 197