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overall_accuracy
float64
0.69
0.72
total_predictions
int64
14k
217k
correct_predictions
int64
10.1k
150k
per_class_accuracy
dict
per_class_recall
dict
per_class_precision
dict
per_class_counts
dict
token_key_used
stringclasses
1 value
0.690083
216,900
149,679
{ "wall": 0.6681441701136263, "empty": 0.7078689245656477, "agent": 0.720954356846473, "goal": 0.8672199170124482 }
{ "wall": 0.6681441701136263, "empty": 0.7078689245656477, "agent": 0.720954356846473, "goal": 0.8672199170124482 }
{ "wall": 0.7416933327488713, "empty": 0.7444651068121051, "agent": 0.12246696035242291, "goal": 0.07033484772000673 }
{ "wall": { "correct": 67681, "total": 101297, "predicted": 91252 }, "empty": { "correct": 80467, "total": 113675, "predicted": 108087 }, "agent": { "correct": 695, "total": 964, "predicted": 5675 }, "goal": { "correct": 836, "total": 964, "predicted": 11886 } }
prompt_suffix_tokens
0.723562
14,014
10,140
{ "wall": 0.8341439688715954, "empty": 0.5199310080490609, "agent": 0.9965034965034965, "goal": 0.986013986013986 }
{ "wall": 0.8341439688715954, "empty": 0.5199310080490609, "agent": 0.9965034965034965, "goal": 0.986013986013986 }
{ "wall": 0.8303074316146212, "empty": 0.8130056937368895, "agent": 0.19507186858316222, "goal": 0.29559748427672955 }
{ "wall": { "correct": 6860, "total": 8224, "predicted": 8262 }, "empty": { "correct": 2713, "total": 5218, "predicted": 3337 }, "agent": { "correct": 285, "total": 286, "predicted": 1461 }, "goal": { "correct": 282, "total": 286, "predicted": 954 } }
prompt_suffix_tokens

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Trajectories with Cognitive Map Probe Examples

This folder contains a subset of project-telos/trajectories_test_full_with_cognitive_map_probes to use for visualization with the Trace Viewer demo. Only MLP general probes trained on layer 15, i.e. the most performant setup found by our experiments, are included.

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