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

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

Neuron 2912 in Layer 3

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: 0.0246. Min Act: -0.0001

Data Index: 235296 (C4 (Web Text))

Max Activating Token Index: 204

Text #1

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Data Index: 686768 (C4 (Web Text))

Max Activating Token Index: 97

Text #2

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Data Index: 62607 (C4 (Web Text))

Max Activating Token Index: 845

Text #3

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Data Index: 814976 (C4 (Web Text))

Max Activating Token Index: 1002

Text #4

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Data Index: 966087 (C4 (Web Text))

Max Activating Token Index: 261

Text #5

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Data Index: 419213 (C4 (Web Text))

Max Activating Token Index: 105

Text #6

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Max Activating Token Index: 152

Text #7

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Max Activating Token Index: 441

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Max Activating Token Index: 871

Text #9

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Max Activating Token Index: 291

Text #10

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Data Index: 131248 (C4 (Web Text))

Max Activating Token Index: 358

Text #11

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Max Activating Token Index: 592

Text #12

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Max Activating Token Index: 996

Text #13

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Max Activating Token Index: 305

Text #14

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Text #15

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Max Activating Token Index: 564

Text #16

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Max Activating Token Index: 223

Text #17

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Max Activating Token Index: 295

Text #18

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Data Index: 61651 (C4 (Web Text))

Max Activating Token Index: 453

Text #19

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Data Index: 1313274 (C4 (Web Text))

Max Activating Token Index: 151