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vision-transformers-registers - Vision Transformers Don't Need Trained Registers

Apply test-time register token injection to pretrained Vision Transformers to reduce high-norm outlier artifacts without retraining.

Tags

Updated: 2026-09-28
vision-transformersattention-mechanismsregister-neuronsoutlier-tokensinference-optimization

Capabilities

Detect register neuronsIdentify outlier tokensInject test-time register tokensShift neuron activations

Typical Inputs

Pretrained Vision TransformerImage dataloaderInput images

Typical Outputs

Register neuron indicesInjected-token inference outputsAttention maps

What this skill does

  • Detect register neurons
  • Identify outlier tokens
  • Inject test-time register tokens
  • Shift neuron activations
  • Analyze attention maps
  • Compute attention metrics

Inputs

  • Pretrained Vision Transformer
  • Image dataloader
  • Input images
  • Target layer index
  • Attention layer index
  • Attention head index

Outputs

  • Register neuron indices
  • Injected-token inference outputs
  • Attention maps
  • Attention quality metrics

Requirements

  • PyTorch environment
  • Pretrained Vision Transformer checkpoint
  • Access to transformer layer internals
  • Inference without retraining

Source

  • Spec: SKILL.md

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