Model: Prisma-Multimodal/sparse-autoencoder-clip-b-32-sae-vanilla-x64-layer-2-hook_mlp_out-l1-8e-05
Author: Prisma-Multimodal
Pipeline: feature-extraction
Library: torch
Tags: torch, clip, vision, transformers, interpretability, sparse autoencoder, sae, mechanistic interpretability, feature-extraction, en, license:apache-2.0, region:us
Card metadata: language: en
tags: clip, vision, transformers, interpretability, sparse autoencoder, sae, mechanistic interpretability
license: apache-2.0
library_name: torch
pipeline_tag: feature-extraction
metrics: type: explained_variance
value: 85
pretty_name: Explained Variance %
range: min: 0
max: 100, type: l0
value: 390.001
pretty_name: L0
Likes: 0 | All-time downloads: 9
Created: 2024-11-01 16:39:43