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

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

Neuron 734 in Layer 4

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



Text #0

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Max Act: 0.6947. Min Act: -0.0001

Data Index: 802957 (C4 (Web Text))

Max Activating Token Index: 96

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Text #1

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Max Act: 0.6091. Min Act: -0.0001

Data Index: 1155480 (C4 (Web Text))

Max Activating Token Index: 931

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Text #2

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Max Act: 0.6424. Min Act: -0.0001

Data Index: 364253 (C4 (Web Text))

Max Activating Token Index: 173

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Text #3

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Max Act: 0.5873. Min Act: -0.0001

Data Index: 517440 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

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Text #4

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Max Act: 0.5773. Min Act: -0.0001

Data Index: 310776 (C4 (Web Text))

Max Activating Token Index: 448

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Text #5

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Data Index: 1566116 (Python Code)

Max Activating Token Index: 659

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Text #6

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Data Index: 925326 (C4 (Web Text))

Max Activating Token Index: 348

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Text #7

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Data Index: 716851 (C4 (Web Text))

Max Activating Token Index: 100

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Text #8

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Data Index: 874977 (C4 (Web Text))

Max Activating Token Index: 237

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Text #9

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Data Index: 244879 (C4 (Web Text))

Max Activating Token Index: 835

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Text #10

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Data Index: 1044867 (C4 (Web Text))

Max Activating Token Index: 758

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Text #11

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Data Index: 182655 (C4 (Web Text))

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Text #12

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Data Index: 738664 (C4 (Web Text))

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Text #13

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Data Index: 1556087 (Python Code)

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Text #14

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Data Index: 298571 (C4 (Web Text))

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Text #15

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Data Index: 545775 (C4 (Web Text))

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Text #16

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Data Index: 390561 (C4 (Web Text))

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Text #17

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Max Act: 0.5084. Min Act: -0.0001

Data Index: 589209 (C4 (Web Text))

Max Activating Token Index: 234

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Text #18

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Max Act: 0.5605. Min Act: -0.0001

Data Index: 471122 (C4 (Web Text))

Max Activating Token Index: 991

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Text #19

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Data Index: 142772 (C4 (Web Text))

Max Activating Token Index: 100

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