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

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

Neuron 899 in Layer 2

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: 0.0262. Min Act: -0.0003

Data Index: 741021 (C4 (Web Text))

Max Activating Token Index: 969

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Truncated

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Text #1

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 46074 (C4 (Web Text))

Max Activating Token Index: 862

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Truncated

Full Text #1


Text #2

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Max Act: 0.0176. Min Act: -0.0003

Data Index: 713365 (C4 (Web Text))

Max Activating Token Index: 205

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Truncated

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Text #3

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Max Act: 0.0157. Min Act: -0.0003

Data Index: 906599 (C4 (Web Text))

Max Activating Token Index: 973

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Truncated

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Text #4

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Max Act: 0.0161. Min Act: -0.0003

Data Index: 1591772 (Python Code)

Max Activating Token Index: 805

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Truncated

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Text #5

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Max Act: 0.0165. Min Act: -0.0003

Data Index: 561586 (C4 (Web Text))

Max Activating Token Index: 1000

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Truncated

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Text #6

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 700270 (C4 (Web Text))

Max Activating Token Index: 630

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Truncated

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Text #7

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 601259 (C4 (Web Text))

Max Activating Token Index: 1022

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Truncated

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Text #8

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Max Act: 0.0154. Min Act: -0.0003

Data Index: 144727 (C4 (Web Text))

Max Activating Token Index: 980

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Truncated

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Text #9

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 791919 (C4 (Web Text))

Max Activating Token Index: 955

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Truncated

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Text #10

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Data Index: 616028 (C4 (Web Text))

Max Activating Token Index: 753

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Truncated

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Text #11

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 986330 (C4 (Web Text))

Max Activating Token Index: 434

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Truncated

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Text #12

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Data Index: 969820 (C4 (Web Text))

Max Activating Token Index: 962

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Truncated

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Text #13

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 455077 (C4 (Web Text))

Max Activating Token Index: 980

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Truncated

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Text #14

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Max Act: 0.0144. Min Act: -0.0003

Data Index: 34458 (C4 (Web Text))

Max Activating Token Index: 870

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Truncated

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Text #15

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 86428 (C4 (Web Text))

Max Activating Token Index: 976

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Truncated

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Text #16

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Max Act: 0.0142. Min Act: -0.0003

Data Index: 438793 (C4 (Web Text))

Max Activating Token Index: 384

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Truncated

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Text #17

Max Range: 0.0262. Min Range: -0.0262

Max Act: 0.0148. Min Act: -0.0003

Data Index: 1569537 (Python Code)

Max Activating Token Index: 965

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Text #18

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 703792 (C4 (Web Text))

Max Activating Token Index: 986

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Truncated

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Text #19

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1333846 (C4 (Web Text))

Max Activating Token Index: 925

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