Index A | B | C | D | F | I | L | M | N | O | P | Q | R | S | T | U | V | W A add_concept (linear_relational.ConceptSwapRequest attribute) answer (linear_relational.Prompt attribute) B best_match (linear_relational.QueryResult property) bias (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) C calculate_object_activation() (linear_relational.LowRankLre method) (linear_relational.Lre method) calculate_subject_activation() (linear_relational.InvertedLre method) CausalEditor (class in linear_relational) Concept (class in linear_relational) concept (linear_relational.ConceptMatchResult attribute) concept_results (linear_relational.QueryResult attribute) ConceptMatcher (class in linear_relational) ConceptMatchQuery (class in linear_relational) ConceptMatchResult (class in linear_relational) concepts (linear_relational.CausalEditor attribute) (linear_relational.ConceptMatcher attribute) ConceptSwapAndPredictGreedyRequest (class in linear_relational) ConceptSwapRequest (class in linear_relational) D device (linear_relational.CausalEditor property) F forward() (linear_relational.Concept method) (linear_relational.InvertedLre method) (linear_relational.LowRankLre method) (linear_relational.Lre method) I invert() (linear_relational.Lre method) InvertedLre (class in linear_relational) L layer (linear_relational.Concept attribute) layer_matcher (linear_relational.CausalEditor attribute) (linear_relational.ConceptMatcher attribute) (linear_relational.Trainer attribute) layer_name_to_num (linear_relational.CausalEditor attribute) (linear_relational.ConceptMatcher attribute) LowRankLre (class in linear_relational) Lre (class in linear_relational) M map_activations_fn (linear_relational.ConceptMatcher attribute) metadata (linear_relational.Concept attribute) (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) model (linear_relational.CausalEditor attribute) (linear_relational.ConceptMatcher attribute) (linear_relational.Trainer attribute) N name (linear_relational.Concept attribute) O object (linear_relational.Concept attribute) object_aggregation (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) object_layer (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) object_name (linear_relational.Prompt attribute) P predict_num_tokens (linear_relational.ConceptSwapAndPredictGreedyRequest attribute) Prompt (class in linear_relational) prompt_validator (linear_relational.Trainer attribute) Q query() (linear_relational.ConceptMatcher method) query_bulk() (linear_relational.ConceptMatcher method) QueryResult (class in linear_relational) R rank (linear_relational.InvertedLre property) (linear_relational.LowRankLre property) relation (linear_relational.Concept attribute) (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) remove_concept (linear_relational.ConceptSwapRequest attribute) S s (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) score (linear_relational.ConceptMatchResult attribute) subject (linear_relational.ConceptMatchQuery attribute) (linear_relational.ConceptSwapRequest attribute) (linear_relational.Prompt attribute) subject_layer (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) (linear_relational.Lre attribute) subject_name (linear_relational.Prompt attribute) swap_subject_concepts_and_predict_all_token_probs_bulk() (linear_relational.CausalEditor method) swap_subject_concepts_and_predict_greedy() (linear_relational.CausalEditor method) swap_subject_concepts_and_predict_greedy_bulk() (linear_relational.CausalEditor method) swap_subject_concepts_and_predict_tokens_greedy_bulk() (linear_relational.CausalEditor method) T text (linear_relational.ConceptMatchQuery attribute) (linear_relational.ConceptSwapRequest attribute) (linear_relational.Prompt attribute) to_low_rank() (linear_relational.Lre method) tokenizer (linear_relational.CausalEditor attribute) (linear_relational.ConceptMatcher attribute) (linear_relational.Trainer attribute) train_lre() (linear_relational.Trainer method) train_relation_concepts() (linear_relational.Trainer method) train_relation_concepts_from_inv_lre() (linear_relational.Trainer method) Trainer (class in linear_relational) U u (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) V v (linear_relational.InvertedLre attribute) (linear_relational.LowRankLre attribute) vector (linear_relational.Concept attribute) W w_inv_times_vec() (linear_relational.InvertedLre method) w_times_vec() (linear_relational.LowRankLre method) weight (linear_relational.Lre attribute)