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

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

Neuron 1923 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: 0.0214. Min Act: -0.0003

Data Index: 1143570 (C4 (Web Text))

Max Activating Token Index: 738

Text #1

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Data Index: 454471 (C4 (Web Text))

Max Activating Token Index: 647

Text #2

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 1272702 (C4 (Web Text))

Max Activating Token Index: 2

Text #3

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 1171421 (C4 (Web Text))

Max Activating Token Index: 8

Text #4

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Data Index: 611547 (C4 (Web Text))

Max Activating Token Index: 299

Text #5

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Data Index: 188255 (C4 (Web Text))

Max Activating Token Index: 179

Text #6

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Data Index: 193929 (C4 (Web Text))

Max Activating Token Index: 895

Text #7

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Text #8

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Max Activating Token Index: 278

Text #9

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Text #10

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Max Activating Token Index: 301

Text #11

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Max Activating Token Index: 211

Text #12

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Max Activating Token Index: 414

Text #13

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Max Activating Token Index: 10

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 602

Text #18

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Text #19

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Data Index: 1006842 (C4 (Web Text))

Max Activating Token Index: 294