Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1480 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0227. Min Act: -0.0006

Data Index: 738689 (C4 (Web Text))

Max Activating Token Index: 799

Text #1

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Data Index: 127884 (C4 (Web Text))

Max Activating Token Index: 590

Text #2

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Max Act: 0.0214. Min Act: -0.0006

Data Index: 547259 (C4 (Web Text))

Max Activating Token Index: 669

Text #3

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Data Index: 886570 (C4 (Web Text))

Max Activating Token Index: 711

Text #4

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Data Index: 582066 (C4 (Web Text))

Max Activating Token Index: 582

Text #5

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Data Index: 360383 (C4 (Web Text))

Max Activating Token Index: 523

Text #6

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Data Index: 369104 (C4 (Web Text))

Max Activating Token Index: 90

Text #7

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Text #8

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Max Activating Token Index: 705

Text #9

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Max Activating Token Index: 855

Text #10

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Max Activating Token Index: 627

Text #11

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Max Activating Token Index: 419

Text #12

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Max Activating Token Index: 941

Text #13

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Max Activating Token Index: 786

Text #14

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Max Activating Token Index: 409

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 421

Text #18

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Text #19

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Data Index: 25122 (C4 (Web Text))

Max Activating Token Index: 204