Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2900 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0264. Min Act: -0.0001

Data Index: 655349 (C4 (Web Text))

Max Activating Token Index: 173

Text #1

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Max Act: 0.0232. Min Act: -0.0001

Data Index: 752534 (C4 (Web Text))

Max Activating Token Index: 969

Text #2

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Max Act: 0.0234. Min Act: -0.0001

Data Index: 509207 (C4 (Web Text))

Max Activating Token Index: 25

Text #3

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Max Act: 0.0223. Min Act: -0.0001

Data Index: 166835 (C4 (Web Text))

Max Activating Token Index: 88

Text #4

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Max Act: 0.0230. Min Act: -0.0001

Data Index: 893943 (C4 (Web Text))

Max Activating Token Index: 699

Text #5

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Max Act: 0.0215. Min Act: -0.0001

Data Index: 479556 (C4 (Web Text))

Max Activating Token Index: 401

Text #6

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Max Act: 0.0191. Min Act: -0.0001

Data Index: 1544159 (Python Code)

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Text #7

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Max Activating Token Index: 911

Text #8

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Max Activating Token Index: 638

Text #9

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Data Index: 116858 (C4 (Web Text))

Max Activating Token Index: 1015

Text #10

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Max Activating Token Index: 797

Text #11

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Data Index: 256800 (C4 (Web Text))

Max Activating Token Index: 353

Text #12

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Data Index: 899022 (C4 (Web Text))

Max Activating Token Index: 595

Text #13

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Data Index: 1005461 (C4 (Web Text))

Max Activating Token Index: 114

Text #14

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Data Index: 696495 (C4 (Web Text))

Max Activating Token Index: 108

Text #15

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Max Activating Token Index: 377

Text #16

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Max Activating Token Index: 141

Text #17

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Max Activating Token Index: 833

Text #18

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Data Index: 1271995 (C4 (Web Text))

Max Activating Token Index: 938

Text #19

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Max Act: 0.0207. Min Act: -0.0001

Data Index: 1075054 (C4 (Web Text))

Max Activating Token Index: 772