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

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

Neuron 1680 in Layer 4

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



Text #0

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Max Act: 0.2235. Min Act: -0.0001

Data Index: 1355500 (C4 (Web Text))

Max Activating Token Index: 523

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Text #1

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Max Act: 0.2051. Min Act: -0.0001

Data Index: 254531 (C4 (Web Text))

Max Activating Token Index: 506

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Truncated

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Text #2

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Max Act: 0.1942. Min Act: -0.0001

Data Index: 666364 (C4 (Web Text))

Max Activating Token Index: 774

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Text #3

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Max Act: 0.1938. Min Act: -0.0001

Data Index: 672395 (C4 (Web Text))

Max Activating Token Index: 143

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Truncated

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Text #4

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Max Act: 0.1843. Min Act: -0.0001

Data Index: 47139 (C4 (Web Text))

Max Activating Token Index: 656

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Truncated

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Text #5

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Data Index: 494390 (C4 (Web Text))

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Text #6

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Data Index: 472432 (C4 (Web Text))

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Text #7

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Data Index: 1007171 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 445622 (C4 (Web Text))

Max Activating Token Index: 189

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Text #9

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Data Index: 20316 (C4 (Web Text))

Max Activating Token Index: 194

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Text #10

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Data Index: 408528 (C4 (Web Text))

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Text #11

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Data Index: 852040 (C4 (Web Text))

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Text #12

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Data Index: 798324 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1458970 (Python Code)

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Text #15

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Data Index: 1275563 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1455193 (Python Code)

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Text #18

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Data Index: 532244 (C4 (Web Text))

Max Activating Token Index: 766

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Text #19

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Data Index: 958088 (C4 (Web Text))

Max Activating Token Index: 154

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