CCP, 2024
by Tom White
Two colour hand silkscreen, acrylic on paper accompanied by an interactive online interface and ERC-721 token
Print: 45 18/25 x 45 18/25 cm | 18 x 18 in
Digital Image: 5400 × 5400 px
About the Artwork
Cartographic exploration of a single steering direction within the DeepSeek-R1-Distill-Llama-8B large language model at layer 19. This CCP_FEATURE was discovered by Tyler Cosgrove as one of 65536 automatically discovered latents within a sparse autoencoder trained by @qtnx_ (Quentin).
A collage consisting of 250 individual contexts activating this latent in related clusters, with strongest activations at the center. The red color highlights the semantically relevant parts of the image according to the LLM.
About the artist
Tom White (dribnet) is a New Zealand based visual artist focused on work combining AI and drawing systems for over 25 years. He studied computer graphics and visual design at the MIT Aesthetics and Computation group with professor John Maeda where his 1998 MS Thesis investigated the potential for multi-touch interfaces to provide better computer interfaces. His early work on drawing frameworks led to influential software that is still popular today - such as Processing, openFrameworks, and p5.js. His computational art has been exhibited at museums internationally including Cooper Union, MoMA, National Taiwan Museum of Fine Arts, SIGGRAPH, Ars Electronica, and the NeurIPS Art Gallery. He is also currently a lecturer teaching computational design and creative AI at the Victoria University of Wellington School of Design.
Details
Medium: Two colour hand silkscreen, acrylic on paper accompanied by an interactive online interface and ERC-721 token
Dimensions:
Print: 45 18/25 x 45 18/25 cm | 18 x 18 in
Digital Image: 5400 × 5400 px
File size:
Contract Address:
Token Standard:
Blockchain:


