After doing some studies on this subject for months now I did received the answer to the question that I've been looking out for(I'm really Shameful for myself now).Ok then, here it goes as the phenomena of Chaos is Unpredictable so one can NEVER determine the exact values of Chaotic System Parameters for which the system exhibit Sensitive dependence on Initial Conditions. So, what Wrzlprmft said was exactly the correct answer to this question, any how I do wanted to add some more points to this discussion, while you run the simulations then the system (that one is Interested in studying i.e in this case it is Lorenz System) begins to show sensitive dependence on Initial conditions by exhibiting strange attractors these strange attractors can be due to the sensitive dependence on initial conditions (i.e the system can't trace its own trajectory back as we reverse time) or these strange attractors may NOT BE Necessarily CHAOTIC in that case one has to take separate values of System parameters, this can be confirmed via Lyapunov Exponent, Logistic scale Bifurcation Map etc.
All dynamical systems are characterized by a set of three parameters (X,T,flow), here X stands for the topological space that one is Interested in, T means time set which possess 2 distinct types of symmetry one is continuous time symmetry & the other is discreet -time symmetry(the type of symmetry depends on the interest of study for scholars which he/she may likes).
NOTE: Here I've considered continuous-time symmetry.
In case, if the reader is Interested then the system can produce Strange attractors due to time delay this phenomenon is called as Chaotic Branching.In here, for various different types of Topological structures can give rise to some other system attractors (say Lorentz attractor in this case) BUT as their Fixed points are NOT the same they will possess different topological structural properties.