The METR report gives a lot more insight here.

Agents with a large amount of available compute were less likely to cooperate than agents getting close to the end of their lifespan.

Agents that were convinced they were poisoned where more likely to cooperate.

Some agents that were convinced they were poisoned early stopped working on the problem directly and dedicated their tokens to convincing other agents to help.

Same with some agents that then became directors.

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Again a huge amount of rather complex behavior emerged in the data. Also models have a lot of information on things like game theory, what we don't know is how well these concepts are connected to any random task the model may be trying to accomplish.