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

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

Neuron 2028 in Layer 2

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: 0.0665. Min Act: -0.0005

Data Index: 785977 (C4 (Web Text))

Max Activating Token Index: 986

Text #1

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Data Index: 13985 (C4 (Web Text))

Max Activating Token Index: 287

Text #2

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Data Index: 1050646 (C4 (Web Text))

Max Activating Token Index: 1013

Text #3

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Max Act: 0.0696. Min Act: -0.0005

Data Index: 212458 (C4 (Web Text))

Max Activating Token Index: 763

Text #4

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Data Index: 1171936 (C4 (Web Text))

Max Activating Token Index: 209

Text #5

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Data Index: 1257075 (C4 (Web Text))

Max Activating Token Index: 437

Text #6

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Max Activating Token Index: 458

Text #7

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Max Activating Token Index: 791

Text #8

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Data Index: 651997 (C4 (Web Text))

Max Activating Token Index: 260

Text #9

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Max Activating Token Index: 501

Text #10

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Max Activating Token Index: 142

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Max Activating Token Index: 516

Text #12

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Max Activating Token Index: 134

Text #13

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Max Activating Token Index: 442

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: 473

Text #18

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Text #19

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Data Index: 624689 (C4 (Web Text))

Max Activating Token Index: 726