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

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

Neuron 3039 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: 0.0972. Min Act: -0.0001

Data Index: 1088578 (C4 (Web Text))

Max Activating Token Index: 209

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Truncated

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Text #1

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Data Index: 1071658 (C4 (Web Text))

Max Activating Token Index: 98

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Truncated

Full Text #1


Text #2

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Max Act: 0.0882. Min Act: -0.0001

Data Index: 557526 (C4 (Web Text))

Max Activating Token Index: 611

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Truncated

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Text #3

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Data Index: 177763 (C4 (Web Text))

Max Activating Token Index: 505

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Truncated

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Text #4

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Data Index: 1293340 (C4 (Web Text))

Max Activating Token Index: 456

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Truncated

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Text #5

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Data Index: 316789 (C4 (Web Text))

Max Activating Token Index: 148

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Truncated

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Text #6

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Data Index: 1308178 (C4 (Web Text))

Max Activating Token Index: 473

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Truncated

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Text #7

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Data Index: 3567 (C4 (Web Text))

Max Activating Token Index: 235

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Truncated

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Text #8

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Data Index: 252784 (C4 (Web Text))

Max Activating Token Index: 176

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Text #9

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Data Index: 74845 (C4 (Web Text))

Max Activating Token Index: 361

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Truncated

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Text #10

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Data Index: 76624 (C4 (Web Text))

Max Activating Token Index: 155

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Data Index: 463124 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 229263 (C4 (Web Text))

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Text #15

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Data Index: 1174077 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 410620 (C4 (Web Text))

Max Activating Token Index: 577

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Text #18

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Data Index: 1184440 (C4 (Web Text))

Max Activating Token Index: 61

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Truncated

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Text #19

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Data Index: 73209 (C4 (Web Text))

Max Activating Token Index: 573

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