What question did this study set out to answer?

The research aims to develop a framework for enhancing the interpretability and safety of transformer models.

March 22, 2026Open Access

Operator Dynamics in Transformer Residual Streams: A Unified Framework for Interpretability, Adversarial Detection, Causal Control, and Topological Model Fingerprinting

Key Points

The research aims to develop a framework for enhancing the interpretability and safety of transformer models.
Develops a unified framework based on residual stream operators.
Validates empirical contributions across multiple models.
Explores inter-layer differences to analyze layer contributions.
Establishes a geometric understanding of operator dynamics in transformers.
Demonstrates improvements in interpretability and adversarial detection.
Covers a broad parameter range across architectural families.

Abstract

We present a unified framework for transformer interpretability and safetygrounded in the geometry of residual stream operators — inter-layer differ-ences ∆l = hl+1 − hl that directly capture what each layer contributes tothe forward pass. We make five empirical contributions validated across fourmodels spanning three architectural families and a 80× parameter range(GPT-2 117M through Qwen3.5-9B).

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Sanskar Pandey

Actions

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Operator Dynamics in Transformer Residual Streams: A Unified Framework for Interpretability, Adversarial Detection, Causal Control, and Topological Model Fingerprinting

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Actions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study