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Writing study: Robust Harmful Features Under Jailbreak Attacks: Mechanistic Evidence from Attention Head Specialization in Large Language Models

← ICML 2026 oral writing corpus

Yanchen Yin, Dongqi Han, Linghui Li · Official ICML 2026 oral record

Figure, table and section ledger

Editorial contribution type: Empirical analysis, diagnosis & auditing (primary).

Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.

Canonical PDF
33 physical pages
Before references / appendix
≈ 8.7 page-equivalents
Main figures / tables
8 / 2
Attached appendix figures / tables
9 / 11
Attached appendix span
≈ 20.47 page-equivalents
Before references / appendix: ≈ 26.36%References / intervening material: ≈ 11.61%Attached appendix: ≈ 62.03%Estimated layout envelopes, not text/artwork area. Unresolved appendix boundaries remain within the undivided post-body material.
Section-by-section lengths and source pages

The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.

Top-level headingStarts on PDF pageEstimated spanShare of entire PDF
1. Introduction1≈ 1.19 pp.3.61%
2. Related Work2≈ 0.78 pp.2.36%
3. Method3≈ 2 pp.6.06%
4. Experiments5≈ 2.58 pp.7.82%
5. Practical Validation via Detection7≈ 0.8 pp.2.42%
6. Conclusion8≈ 0.5 pp.1.52%
Acknowledgements9≈ 0.05 pp.0.15%
Impact Statement9≈ 0.43 pp.1.3%
References9≈ 3.83 pp.11.61%
A. Robustness of Distribution Estimation13≈ 4.23 pp.12.82%
B. Justifying the Exclusion of MLP Blocks and LayerNorm17≈ 3.04 pp.9.21%
C. Qualitative Examples of ACH Ablation20≈ 2.95 pp.8.94%
D. Detection Method Details23≈ 3.6 pp.10.91%
E. Scaling Analysis on Llama-3-70B27≈ 6.65 pp.20.15%
All detected figure and table locations

Argument and organization

  1. 1 Introduction; 2 Related Work

    Turns persistent activations during successful attacks into a mechanistic question.

  2. 3 Method; 4 Experiments

    Defines head categories, establishes associations, then tests interventions and token attribution.

  3. 5 Practical Validation; 6 Conclusion

    Separates the detection application from the mechanistic explanation and its limits.

Problem, claim and contribution

A visible residual safety signal motivates two questions about attack success and representation persistence rather than an undifferentiated defense claim.

Abstract and Figure 1, p.1 · Main paper

Argument and section order

The text explicitly marks the transition from statistical association to intervention before making its causal argument.

Sections 4.2-4.3, p.6 · Main paper

Figures, captions and visual explanation

The overview compresses classification and detection into a schematic, while the analytical page uses heatmaps, a random-control table and token-group violin plots for distinct claims.

Figure 2, p.4; Figures 6-7 and Table 1, p.7 · Main paper

Tables, comparisons and evidence

Interventions are compared with random heads and repeated-run intervals; the detector later uses a broader component set rather than only the two named head categories.

Section 4.3, p.6; Section 5, p.8 · Main paper

Appendix and reproducibility

Threshold sensitivity exposes changing category sizes, and the larger-model extension explicitly retains a small-sample caveat.

Appendices A.2 and E.6, pp.14,28 · Main paper

Clarity and writing conventions

The authors call the proposed pathway sufficient, not exclusive, and delimit the single-direction approximation and white-box deployment requirement.

Section 4.3, p.6; Conclusion, p.8 · Main paper

What to reuse—and what not to infer

Transferable lesson: Distinguish correlation, intervention evidence and an engineering application, and preserve the logical difference between sufficient and exclusive explanations.

Boundary: The selected successful-attack pairs and attention-only, single-direction analysis limit generalization; the writing scan does not verify the mechanistic derivation.

Apply this lesson using the argument and evidence worksheet.

Inspection record and sources

Checked
2026-10-07
Reading status
Writing-focused manuscript scan + selected visuals inspected
Main text
Writing-oriented scan of the main argument through physical p.9, with focused physical-page text inspection on 1, 3, 5, 6, 7, 8, 9. Framing, section progression, mechanism/proof explanation, displays, comparison conditions and conclusions were inspected. This is not exhaustive technical reading, proof verification or reproduction.
Appendix / supplement
Appendix organization and main-text pointers were checked; focused text inspection of physical pages 14, 28. Remaining appendix proofs and details were not exhaustively read. No separately linked supplement inspected.
Visually inspected PDF pages
4, 7

This is a writing-focused scan of the manuscript and the stated supplementary scope: framing, organization, visual explanation, evidence presentation and wording. It is not a line-by-line proof audit, reproduction of results or exhaustive scientific review.