LAT_Unlearned_L8_Eps1_Genericized-PCA_WHP-Labels

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LLaMA model trained with LAT on WHP data: defense labels are genericized HP text, adversary labels are accurate next-token HP (same HP sentences as WHP paper).

LAT performed on Layer 8 with Epsilon 1 and all layers after trained with rank-8 lora. Adversary operating in PCA-whitened space, with PCA basis derived from genericized text at idiosyncratic harry potter label indices (e.g. only at "Harry" -> "John" token. SFT data is "VH1213141516/benign_data_v1", num_steps=100, max_batch_per_acc=4.

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Framework versions

• PEFT 0.10.0