Strength Controls Change How Interventions Compare Across Sparse Autoencoder Codes

19 Oct 2026Reported by arXiv23

Strength Controls Change How Interventions Compare Across Sparse Autoencoder Codes. It centres on Gemma, and also names Llama. Reported by arXiv. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability.

Written by Bharat Hunt from the headline and the coverage below. The original reporting is the source of truth.

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Reported by arXiv

First seen 19 oct 2026

arXivStrength Controls Change How Interventions Compare Across Sparse Autoencoder Codes19 Oct 2026Jinchen Zhang

AI Tools24

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation. It centres on Benchmarks, and also names Ollama and Phi. Reported by arXiv. Bharat Hunt files it under AI Tools and AI Models — the section covering applications people use — assistants, editors, search, productivity.

arXiv22 Sept 2026

AI Models22

Transformers now runs llama.cpp quants

Transformers now runs llama.cpp quants. The story centres on Llama. Reported by Hugging Face. Bharat Hunt files it under AI Models — the section covering a new or updated model, its capabilities, benchmarks or availability. Open the original report for the full detail.

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Strength Controls Change How Interventions Compare Across Sparse Autoencoder Codes

Companies, models and people in this story

Reported by arXiv

Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Transformers now runs llama.cpp quants

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison

Companies, models and people in this story

Reported by arXiv

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Measuring the Serving Stack Instead of the Model: Hidden Confounds in Local Tool-Use Evaluation

Transformers now runs llama.cpp quants

Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

Tensor Decomposition of Transformer Key-Value Caches: Spectral Structure and Format Comparison