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

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

Neuron 70 in Layer 3

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: 0.0758. Min Act: -0.0002

Data Index: 199644 (C4 (Web Text))

Max Activating Token Index: 280

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Text #1

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Data Index: 329001 (C4 (Web Text))

Max Activating Token Index: 236

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Text #2

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Data Index: 805292 (C4 (Web Text))

Max Activating Token Index: 297

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Text #3

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Data Index: 452581 (C4 (Web Text))

Max Activating Token Index: 781

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Text #4

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Data Index: 589712 (C4 (Web Text))

Max Activating Token Index: 704

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Text #5

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Data Index: 1097118 (C4 (Web Text))

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Text #6

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Data Index: 345416 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 225115 (C4 (Web Text))

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Text #9

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Data Index: 1117183 (C4 (Web Text))

Max Activating Token Index: 652

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1124436 (C4 (Web Text))

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Text #19

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Data Index: 770942 (C4 (Web Text))

Max Activating Token Index: 152

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